Results for 'Data-oriented parsing'

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  1. Getting Rid of Derivational Redundancy or How to Solve Kuhn’s Problem.Rens Bod - 2007 - Minds and Machines 17 (1):47-66.
    This paper deals with the problem of derivational redundancy in scientific explanation, i.e. the problem that there can be extremely many different explanatory derivations for a natural phenomenon while students and experts mostly come up with one and the same derivation for a phenomenon (modulo the order of applying laws). Given this agreement among humans, we need to have a story of how to select from the space of possible derivations of a phenomenon the derivation that humans come up with. (...)
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  2.  47
    From Exemplar to Grammar: A Probabilistic Analogy‐Based Model of Language Learning.Rens Bod - 2009 - Cognitive Science 33 (5):752-793.
    While rules and exemplars are usually viewed as opposites, this paper argues that they form end points of the same distribution. By representing both rules and exemplars as (partial) trees, we can take into account the fluid middle ground between the two extremes. This insight is the starting point for a new theory of language learning that is based on the following idea: If a language learner does not know which phrase‐structure trees should be assigned to initial sentences, s/he allows (...)
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  3.  72
    Children’s Grammars Grow More Abstract with Age-Evidence from an Automatic Procedure for Identifying the Productive Units of Language.Gideon Borensztajn, Willem Zuidema & Rens Bod - 2009 - Topics in Cognitive Science 1 (1):175-188.
    We develop an approach to automatically identify the most probable multiword constructions used in children’s utterances, given syntactically annotated utterances from the Brown corpus of CHILDES. The found constructions cover many interesting linguistic phenomena from the language acquisition literature and show a progression from very concrete toward abstract constructions. We show quantitatively that for all children of the Brown corpus grammatical abstraction, defined as the relative number of variable slots in the productive units of their grammar, increases globally with age.
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  4.  11
    The usual suspects: data-oriented models for identification and representation of lexical collocations.Brigitte Krenn - 2000 - Saarbrücken: DFKI.
  5. The relationship between connectionist models and a dynamic data-oriented theory of concept formation.Renate Bartsch - 1996 - Synthese 108 (3):421 - 454.
    In this paper I shall compare two models of concept formation, both inspired by basic convictions of philosophical empiricism. The first, the connectionist model, will be exemplified by Kohonen maps, and the second will be my own dynamic theory of concept formation. Both can be understood in probabilistic terms, both use a notion of convergence or stabilization in modelling how concepts are built up. Both admit destabilization of concepts and conceptual change. Both do not use a notion of representation in (...)
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  6. A Commentary on Eugene Thacker’s "Cosmic Pessimism".Gary J. Shipley & Nicola Masciandaro - 2012 - Continent 2 (2):76-81.
    continent. 2.2 (2012): 76–81 Comments on Eugene Thacker’s “Cosmic Pessimism” Nicola Masciandaro Anything you look forward to will destroy you, as it already has. —Vernon Howard In pessimism, the first axiom is a long, low, funereal sigh. The cosmicity of the sigh resides in its profound negative singularity. Moving via endless auto-releasement, it achieves the remote. “ Oltre la spera che piú larga gira / passa ’l sospiro ch’esce del mio core ” [Beyond the sphere that circles widest / penetrates (...)
     
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  7.  30
    Data Envelopment Analysis and Social Enterprises: Analysing Performance, Strategic Orientation and Mission Drift.Matthias Staessens, Pieter Jan Kerstens, Johan Bruneel & Laurens Cherchye - 2019 - Journal of Business Ethics 159 (2):325-341.
    This study endorses the use of data envelopment analysis, which uses benefit-of-the-doubt weighting to evaluate the social, economic and overall performance of social enterprises. This methodology is especially useful for creating composite indicators based on multiple outputs expressed in different measurement units, and allows for enterprise-specific weighting of the different objectives. Applying this methodology on a unique longitudinal dataset of Flemish sheltered workshops suggests that social enterprises may face different types of mission drift. Further, our results show that top-performing (...)
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  8.  12
    Editorial: Parsing Psychology: Statistical and Computational Methods Using Physiological, Behavioral, Social, and Cognitive Data.Jason C. Immekus & Pietro Cipresso - 2019 - Frontiers in Psychology 10.
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  9.  17
    Parsing as a Cue-Based Retrieval Model.Jakub Dotlačil - 2021 - Cognitive Science 45 (8):e13020.
    This paper develops a novel psycholinguistic parser and tests it against experimental and corpus reading data. The parser builds on the recent research into memory structures, which argues that memory retrieval is content‐addressable and cue‐based. It is shown that the theory of cue‐based memory systems can be combined with transition‐based parsing to produce a parser that, when combined with the cognitive architecture ACT‐R, can model reading and predict online behavioral measures (reading times and regressions). The parser's modeling capacities (...)
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  10.  21
    Arche-writing and data-production in theory-oriented scientific practice: the case of free-viewing as experimental system to test the temporal correlation hypothesis.Juan Felipe Espinosa Cristia, Carla Fardella & Juan Manuel Garrido Wainer - 2021 - History and Philosophy of the Life Sciences 43 (2):1-27.
    Data production in experimental sciences depends on localised experimental systems, but the epistemic properties of data transcend the contingencies of the processes that produce them. Philosophers often believe that experimental systems instantiate but do not produce the epistemic properties of data. In this paper, we argue that experimental systems' local functioning entails intrinsic capacities to produce the epistemic properties of data. We develop this idea by applying Derrida's model of arche-writing to study a case of theory- (...) experimental practice. Derrida's model relativises or dissolves the conceptual distinction between the moment of data production and a subsequent moment of data dissemination. It thus has consequences for understanding both data production (despite being intrinsically local, data production a priori generates transferrable and modellable information) and data dissemination (when modelling information, researchers needs to refer this information to the context of its production). We study a case of data production in a non-exploratory experimental system designed to test a pre-existing hypothesis in visual neuroscience. A case of theory-oriented experimental practice should allow us to identify the autonomous functioning of experimental systems in data production more clearly, insofar as it allows us to study the limits of pre-existing theory in the activities of these systems. We suggest that pre-existing concepts, hypotheses and theories condition the relevance but not the production of experimental data. (shrink)
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  11.  83
    Towards a Robuster Interpretive Parsing: Learning from Overt Forms in Optimality Theory.Tamás Biró - 2013 - Journal of Logic, Language and Information 22 (2):139-172.
    The input data to grammar learning algorithms often consist of overt forms that do not contain full structural descriptions. This lack of information may contribute to the failure of learning. Past work on Optimality Theory introduced Robust Interpretive Parsing (RIP) as a partial solution to this problem. We generalize RIP and suggest replacing the winner candidate with a weighted mean violation of the potential winner candidates. A Boltzmann distribution is introduced on the winner set, and the distribution’s parameter (...)
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  12.  17
    PsyCuraDat: Designing a User-Oriented Curation Standard for Behavioral Psychological Research Data.Katarina Blask, Lea Gerhards & Maria Jalynskij - 2021 - Frontiers in Psychology 11.
    Starting from the observation that data sharing in general and sharing of reusable behavioral data in particular is still scarce in psychology, we set out to develop a curation standard for behavioral psychological research data rendering data reuse more effective and efficient. Specifically, we propose a standard that is oriented toward the requirements of the psychological research process, thus considering the needs of researchers in their role as data providers and data users. To (...)
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  13.  7
    Data sovereignty requirements for patient-oriented AI-driven clinical research in Germany.Marija Radic, Julia Busch-Casler, Agnes Vosen, Philipp Herrmann, Arno Appenzeller, Henrik Mucha, Patrick Philipp, Kevin Frank, Stephanie Dauth, Michaela Köhm, Berna Orak, Indra Spiecker Genannt Döhmann & Peter Böhm - 2024 - Ethik in der Medizin 36 (4):547-562.
    Background The rapidly growing quantity of health data presents researchers with ample opportunity for innovation. At the same time, exploitation of the value of Big Data poses various ethical challenges that must be addressed in order to fulfil the requirements of responsible research and innovation (Gerke et al. 2020 ; Howe III and Elenberg 2020 ). Data sovereignty and its principles of self-determination and informed consent are central goals in this endeavor. However, their consistent implementation has enormous (...)
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  14. Parsing and Presupposition in the Calculation of Local Contexts.Matthew Mandelkern & Jacopo Romoli - forthcoming - Semantics and Pragmatics.
    In this paper, we use antecedent-final conditionals to formulate two problems for parsing-based theories of presupposition projection and triviality of the kind given in Schlenker 2009. We show that, when it comes to antecedent-final conditionals, parsing-based theories predict filtering of presuppositions where there is in fact projection, and triviality judgments for sentences which are in fact felicitous. More concretely, these theories predict that presuppositions triggered in the antecedent of antecedent-final conditionals will be filtered (i.e. will not project) if (...)
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  15.  13
    How does goal orientation affect employees’ innovation behavior: Data from China.Meirong Zhen, Jinru Cao & Mi Wang - 2022 - Frontiers in Psychology 13.
    The study takes an interaction perspective to examine possible interaction effects of goal orientation, psychological capital, and organizational innovation climate aimed at enhancing employees’ innovation behavior. A total sample of 398 employees were selected in Chinese enterprises. The descriptive statistical analyses, multiple regression, and bootstrap approach are adopted to test the interactive effects after controlling for gender, age, years for work of employees, type of enterprises, and industry. Results indicate that learning goal orientation and proving goal orientation have a positive (...)
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  16.  24
    Complete and Accurate? The Role of Profit Orientation in the Production of Public Health Data.Elina S. Hoffmann, Valerie J. Karplus & Erica R. H. Fuchs - forthcoming - Business and Society.
    Public officials rely on performance data that are self-reported by organizations to evaluate progress on a wide range of prosocial outcomes. Policies that require public disclosure of performance in health care are thought to enable patients to select high-quality providers, which in turn may spur quality improvements as providers seek to protect their reputation or increase economic returns. Drawing on institutional theory that examines how conflicting institutional pressures influence organizational decisions, we theorize how profit orientation may mediate the response (...)
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  17.  50
    Causal discovery from nonstationary/heterogeneous data : skeleton estimation and orientation determination.Kun Zhang, Biwei Huang, Jiji Zhang, Clark Glymour & Bernhard Schölkopf - unknown
    It is commonplace to encounter nonstationary or heterogeneous data, of which the underlying generating process changes over time or across data sets. Such a distribution shift feature presents both challenges and opportunities for causal discovery. In this paper we develop a principled framework for causal discovery from such data, called Constraint-based causal Discovery from Nonstationary/heterogeneous Data, which addresses two important questions. First, we propose an enhanced constraint-based procedure to detect variables whose local mechanisms change and recover (...)
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  18.  82
    Cultivating Moral Attention: a Virtue-Oriented Approach to Responsible Data Science in Healthcare.Emanuele Ratti & Mark Graves - 2021 - Philosophy and Technology 34 (4):1819-1846.
    In the past few years, the ethical ramifications of AI technologies have been at the center of intense debates. Considerable attention has been devoted to understanding how a morally responsible practice of data science can be promoted and which values have to shape it. In this context, ethics and moral responsibility have been mainly conceptualized as compliance to widely shared principles. However, several scholars have highlighted the limitations of such a principled approach. Drawing from microethics and the virtue theory (...)
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  19.  26
    Smart forests and data practices: From the Internet of Trees to planetary governance.Jennifer Gabrys - 2020 - Big Data and Society 7 (1).
    Environments are increasingly becoming technologized sites of data production. From smart cities to smart forests, digital networks are analyzing and joining up environmental processes. This commentary focuses on one such understudied smart environment, smart forests, as emerging digital infrastructures that are materializing to manage and mitigate environmental change. How does the digitalization of forests not only change understandings of these environments but also generate different practices and ontologies for addressing environmental change? I first analyze smart forests within the expanding (...)
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  20.  31
    Big Data in the workplace: Privacy Due Diligence as a human rights-based approach to employee privacy protection.Jeremias Adams-Prassl, Isabelle Wildhaber & Isabel Ebert - 2021 - Big Data and Society 8 (1).
    Data-driven technologies have come to pervade almost every aspect of business life, extending to employee monitoring and algorithmic management. How can employee privacy be protected in the age of datafication? This article surveys the potential and shortcomings of a number of legal and technical solutions to show the advantages of human rights-based approaches in addressing corporate responsibility to respect privacy and strengthen human agency. Based on this notion, we develop a process-oriented model of Privacy Due Diligence to complement (...)
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  21.  47
    Just data? Solidarity and justice in data-driven medicine.Matthias Braun & Patrik Hummel - 2020 - Life Sciences, Society and Policy 16 (1):1-18.
    This paper argues that data-driven medicine gives rise to a particular normative challenge. Against the backdrop of a distinction between the good and the right, harnessing personal health data towards the development and refinement of data-driven medicine is to be welcomed from the perspective of the good. Enacting solidarity drives progress in research and clinical practice. At the same time, such acts of sharing could—especially considering current developments in big data and artificial intelligence—compromise the right by (...)
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  22. Considerations regarding the need for a research oriented data bank pertaining to university students.Cl Soskolne - 1976 - Humanitas 3 (4):303.
  23.  91
    Inclusive Leadership Promotes Challenge-Oriented Organizational Citizenship Behavior Through the Mediation of Work Engagement and Moderation of Organizational Innovative Atmosphere.Lu Chen, Fan Luo, Xiaomei Zhu, Xinjian Huang & Yanhong Liu - 2020 - Frontiers in Psychology 11:560594.
    Challenge-oriented organizational citizenship behavior or the organization-improving tasks employees perform beyond their job description is important for high organizational performance, but the organizational factors influencing it are poorly understood. In this study, we explored how inclusive leadership influences employees’ challenge-oriented organizational citizenship behavior in the Chinese context, drawing on data from 558 employees in high-tech industries. Multivariate correlation analysis showed that inclusive leadership promotes employees’ challenge-oriented organizational citizenship behavior and that this influence is partly mediated by (...)
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  24.  68
    Normative orientations of university faculty and doctoral students.Melissa S. Anderson - 2000 - Science and Engineering Ethics 6 (4):443-461.
    Data from two national surveys of 4,000 faculty and doctoral students in chemistry, civil engineering, microbiology and sociology indicate that both faculty and students subscribe strongly to traditional norms but are more likely to see alternative counternorms enacted in their departments. They also show significant effects of departmental climate on normative orientations and suggest that many researchers express some degree of ambivalence about traditional norms.
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  25.  17
    Optimizing Local Probability Models for Statistical Parsing.Mark Mitchell, Christopher D. Manning & Kristina Toutanova - unknown
    This paper studies the properties and performance of models for estimating local probability distributions which are used as components of larger probabilistic systems — history-based generative parsing models. We report experimental results showing that memory-based learning outperforms many commonly used methods for this task (Witten-Bell, Jelinek-Mercer with fixed weights, decision trees, and log-linear models). However, we can connect these results with the commonly used general class of deleted interpolation models by showing that certain types of memory-based learning, including the (...)
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  26.  95
    Ethical sharing of health data in online platforms- which values should be considered?Brígida Riso, Aaro Tupasela, Danya F. Vears, Heike Felzmann, Julian Cockbain, Michele Loi, Nana C. H. Kongsholm, Silvia Zullo & Vojin Rakic - 2017 - Life Sciences, Society and Policy 13 (1):1-27.
    Intensified and extensive data production and data storage are characteristics of contemporary western societies. Health data sharing is increasing with the growth of Information and Communication Technology platforms devoted to the collection of personal health and genomic data. However, the sensitive and personal nature of health data poses ethical challenges when data is disclosed and shared even if for scientific research purposes. With this in mind, the Science and Values Working Group of the COST (...)
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  27.  52
    Firm Newness, Entrepreneurial Orientation, and Ethical Climate.Donald Neubaum, Marie Mitchell & Marshall Schminke - 2004 - Journal of Business Ethics 52 (4):335-347.
    Faced with the liability of newness, a scarcity of resources, and concerns of survival, new firms frequently encounter difficult ethical decisions and might be pressured to make choices that run counter to the tenets of more developed ethical and moral reasoning. This study explores the impact of newness and entrepreneurial orientation on the ethical climate of firms. Data collected from 304 individuals across 37 firms indicated that firm newness was more strongly related to ethical climate than was an entrepreneurial (...)
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  28.  10
    Life orientation and psychological distress in COVID recovered patients-the role of coping as a mediator.Faiqa Yaseen & Marva Sohail - 2022 - Frontiers in Psychology 13:997844.
    The coronavirus disease (COVID-19) pandemic has not only brought the risk of death but has brought unbearable psychological pressures to the people. Mental health of COVID patients is expected to be affected by the continuous spread of the pandemic. This study aims to find the mediating role of coping styles in the relationship between life orientation and psychological distress among COVID recovered patients. It was hypothesized that: life orientation is likely to have a relationship with coping; coping is likely to (...)
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  29.  27
    Data Derivatives.Louise Amoore - 2011 - Theory, Culture and Society 28 (6):24-43.
    In a quiet London office, a software designer muses on the algorithms that will make possible the risk flags to be visualized on the screens of border guards from Heathrow to St Pancras International. There is, he says, ‘real time decision making’ – to detain, to deport, to secondarily question or search – but there is also the ‘offline team who run the analytics and work out the best set of rules’. Writing the code that will decide the association rules (...)
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  30.  49
    Mystical orientation and psychological health : a study among university students in Turkey.Leslie J. Francis, U. Ok & Mandy Robbins - 2017 - Mental Health, Religion and Culture.
    This study examines the association between mystical experience, as captured by the Francis-Louden Mystical Orientation Scale, and psychological health, as captured by the Eysenckian three dimensional model of personality, among 329 students attending a state university in Turkey. The data reported no significant association between mystical orientation and psychoticism scores, and a small but significant positive association between mystical orientation and neuroticism scores, after controlling for sex differences. This finding suggests that there may be a small inverse association between (...)
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  31. Beyond Individual Responsibility: Group Harms in Genomic (Data-Centric) Research Ethics Require Structural, Justice-Oriented Solutions.Magdalena Eitenberger, Mika Baugh, Katherine E. McDonald & Maya Sabatello - 2025 - American Journal of Bioethics 25 (2):77-79.
    Chapman et al. (2025) call for updating the Common Rule to extend individual-based research protections (especially IN data-centric genomic research) to selected social communities. They provide an...
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  32.  35
    Making data science systems work.Phoebe Sengers & Samir Passi - 2020 - Big Data and Society 7 (2).
    How are data science systems made to work? It may seem that whether a system works is a function of its technical design, but it is also accomplished through ongoing forms of discretionary work by many actors. Based on six months of ethnographic fieldwork with a corporate data science team, we describe how actors involved in a corporate project negotiated what work the system should do, how it should work, and how to assess whether it works. These negotiations (...)
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  33.  14
    Causality Orientations and Supportive/Controlled Environment: Understanding Their Influence on Basic Needs, Motivation for Health and Emotions in French Hospitalized Older Adults.Guillaume Souesme, Guillaume Martinent, Donia Akour, Caroline Giraudeau & Claude Ferrand - 2020 - Frontiers in Psychology 11.
    ObjectivesFrom a self-determination theory perspective, the purpose of this cross sectional study was to better understand how to motivate hospitalized older adults’ behaviors and test an integrative model of the role of causality orientations and a supportive/controlled environment on basic need satisfaction, motivation for health oriented physical activity, positive and negative affective states, depressive symptoms, apathy, and boredom.MethodsOlder adults in French hospital units completed self-report questionnaires and socio-demographic data were also collected.ResultsPartial least squares path modeling results showed that (...)
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  34.  79
    Critical data studies: An introduction.Federica Russo & Andrew Iliadis - 2016 - Big Data and Society 3 (2).
    Critical Data Studies explore the unique cultural, ethical, and critical challenges posed by Big Data. Rather than treat Big Data as only scientifically empirical and therefore largely neutral phenomena, CDS advocates the view that Big Data should be seen as always-already constituted within wider data assemblages. Assemblages is a concept that helps capture the multitude of ways that already-composed data structures inflect and interact with society, its organization and functioning, and the resulting impact on (...)
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  35.  18
    Insight orientation scale: A promising tool for organizational outcomes–A psychometric analysis using item response theory.Alessio Gori, Eleonora Topino, Andrea Svicher, David Schuldberg & Annamaria Di Fabio - 2022 - Frontiers in Psychology 13.
    Insight is a construct carried out into different theoretical orientations with increasing application out of the boundaries of clinical psychology. Recent studies have investigated insight also as a promising variable for organizational outcomes. Given the relevance of Insight in promoting change, this paper aimed at describing the psychometric analysis of one of the shortest, most agile, and most versatile tool for measuring some of the characteristics of insight, the Insight Orientation Scale, using Item Response Theory. To achieve this goal, we (...)
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  36.  26
    Strategy Generalization Across Orientation Tasks: Testing a Computational Cognitive Model.Glenn Gunzelmann - 2008 - Cognitive Science 32 (5):835-861.
    Humans use their spatial information processing abilities flexibly to facilitate problem solving and decision making in a variety of tasks. This article explores the question of whether a general strategy can be adapted for performing two different spatial orientation tasks by testing the predictions of a computational cognitive model. Human performance was measured on an orientation task requiring participants to identify the location of a target either on a map (find‐on‐map) or within an egocentric view of a space (find‐in‐scene). A (...)
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  37.  25
    Entrepreneurial Orientation and Knowledge Transfer Effectiveness: The Effect of Organizational Commercial Slack.Yuan-Chieh Chang, Tung-Fei Tsai-Lin & Tian Liang - 2022 - Minerva 60 (3):441-462.
    The paper examines the role of organizational commercial slack (OCS) in mediating the relationship between entrepreneurial orientation (EO) and the effectiveness of knowledge transfer (KT) in universities. The paper identifies two types of commercial slack in the university setting: financial and promotional. Four research hypotheses are proposed. Pooled data, that is, a combination of a questionnaire survey of 110 Taiwanese universities with a data set of university KT effectiveness from the Ministry of Education, Taiwan, are collected to test (...)
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  38.  22
    Health-Oriented Leadership and Mental Health From Supervisor and Employee Perspectives: A Multilevel and Multisource Approach.Ruben Vonderlin, Burkhard Schmidt, Gerhard Müller, Miriam Biermann, Nikolaus Kleindienst, Martin Bohus & Lisa Lyssenko - 2021 - Frontiers in Psychology 11.
    The link between leadership and mental health at the workplace is well established by prior research. However, most of the studies have addressed this relationship from a single-source perspective. The aim of this study was to examine how supervisor and employee ratings of health-oriented leadership correspond to each other and which sources are predictive for employee mental health. We assessed data within 99 teams containing 713 employees in 11 different companies in Southern Germany. Supervisors and their staff completed (...)
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  39.  6
    Speakers’ orientations to directional terms in a map task.Anna Filipi - 2014 - Discourse Studies 16 (3):365-384.
    Drawing on a corpus of eight task-based interactions involving a map task ), this article seeks to focus on how speakers orient to directional terms in an interactional context, and in so doing, to add to features that can be deemed to characterize this speech exchange system. Analysis of the data using conversation analysis showed that features of the talk were confirmation and clarification checks, which provided an opportunity to check understanding and the accuracy of the instruction leading to (...)
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  40. Sense-data and the philosophy of mind: Russell, James, and Mach.Gary Hatfield - 2002 - Principia 6 (2):203-230.
    The theory of knowledge in early twentieth-century Anglo American philosophy was oriented toward phenomenally described cognition. There was a healthy respect for the mind-body problem, which meant that phenomena in both the mental and physical domains were taken seriously. Bertrand Russell's developing position on sense-data and momentary particulars drew upon, and ultimately became like, the neutral monism of Ernst Mach and William James. Due to a more recent behaviorist and physicalist inspired "fear of the mental", this development has (...)
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  41.  93
    Efficient, Feature-based, Conditional Random Field Parsing.Christopher D. Manning - unknown
    Discriminative feature-based methods are widely used in natural language processing, but sentence parsing is still dominated by generative methods. While prior feature-based dynamic programming parsers have restricted training and evaluation to artificially short sentences, we present the first general, featurerich discriminative parser, based on a conditional random field model, which has been successfully scaled to the full WSJ parsing data. Our efficiency is primarily due to the use of stochastic optimization techniques, as well as parallelization and chart (...)
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  42.  14
    Big Data and historical social science.Peter Bearman - 2015 - Big Data and Society 2 (2).
    “Big Data” can revolutionize historical social science if it arises from substantively important contexts and is oriented towards answering substantively important questions. Such data may be especially important for answering previously largely intractable questions about the timing and sequencing of events, and of event boundaries. That said, “Big Data” makes no difference for social scientists and historians whose accounts rest on narrative sentences. Since such accounts are the norm, the effects of Big Data on the (...)
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  43.  38
    Antecedents of Duty Orientation and Follower Work Behavior: The Interactive Effects of Perceived Organizational Support and Ethical Leadership.Nathan Eva, Alexander Newman, Qing Miao, Dan Wang & Brian Cooper - 2018 - Journal of Business Ethics 161 (3):627-639.
    Drawing on social exchange theory, the present study seeks to understand how ethical leaders channel followers’ responses to positive treatment from the organization into a dutiful mindset, resulting in in-role and extra-role performance. Specifically, it examines the influence of perceived organizational support on both followers’ job performance and organizational citizenship behaviors, and the mediating effects of duty orientation on such relationships. In addition, it examines whether the mediated effects are contingent on the ethical leadership exhibited by the team leader. Based (...)
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  44.  21
    Relationship Orientation, Justice Perception, and Opportunistic Behavior in PPP Projects: An Empirical Study From China.Guoli Feng, Shengyue Hao & Xiaoguang Li - 2021 - Frontiers in Psychology 12.
    An equal and high-quality partnership between public and private sectors is essential to the sustainable development of public–private partnership projects. However, in the special social circumstance in China, the public sector has a strong voice in PPP projects. According to the existing research on PPP project failure, the government's dishonest performance and negative cooperative attitude and the private sector's speculative behavior of concealing information will lead to termination or even failure of project. The attitude and behavior that reflect the relationship (...)
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  45.  24
    Data for queer lives: How LGBTQ gender and sexuality identities challenge norms of demographics.Spencer Ruelos & Bonnie Ruberg - 2020 - Big Data and Society 7 (1).
    In this article, we argue that dominant norms of demographic data are insufficient for accounting for the complexities that characterize many lesbian, gay, bisexual, transgender, and queer lives. Here, we draw from the responses of 178 people who identified as non-heterosexual or non-cisgender to demographic questions we developed regarding gender and sexual orientation. Demographic data commonly imagines identity as fixed, singular, and discrete. However, our findings suggest that, for LGBTQ people, gender and sexual identities are often multiple and (...)
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  46.  92
    Evolving data teams: Tensions between organisational structure and professional subculture.Florian Stalph - 2020 - Big Data and Society 7 (1).
    This study explores the integration of data journalism within three European legacy news organisations through the lens of organisational structure and professional culture. Interviews with data journalists and editors suggest that professional routines resonate with established data journalism epistemologies, values, and norms that appear to be constitutional for an inter-organisational data journalism subculture. At the same time, organisational structure either integrates the journalistic subculture by increasing levels of complexity, formalisation, and centralisation or rejects it by not (...)
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  47.  70
    A Stakeholder Identity Orientation Approach to Corporate Social Performance in Family Firms.John B. Bingham, W. Gibb Dyer, Isaac Smith & Gregory L. Adams - 2011 - Journal of Business Ethics 99 (4):565-585.
    Extending the dialogue on corporate social performance as descriptive stakeholder management, we examine differences in CSP activity between family and nonfamily firms. We argue that CSP activity can be explained by the firm’s identity orientation toward stakeholders. Specifically, individualistic, relational, or collectivistic identity orientations can describe a firm’s level of CSP activity toward certain stakeholders. Family firms, we suggest, adopt a more relational orientation toward their stakeholders than nonfamily firms, and thus engage in higher levels of CSP. Further, we invoke (...)
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  48.  24
    Big data for climate action or climate action for big data?Melissa Aronczyk & Maria I. Espinoza - 2021 - Big Data and Society 8 (1).
    Under the banner of “data for good,” companies in the technology, finance, and retail sectors supply their proprietary datasets to development agencies, NGOs, and intergovernmental organizations to help solve an array of social problems. We focus on the activities and implications of the Data for Climate Action campaign, a set of public–private collaborations that wield user data to design innovative responses to the global climate crisis. Drawing on in-depth interviews, first-hand observations at “data for good” events, (...)
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  49.  35
    Health Research with Big Data: Time for Systemic Oversight.Effy Vayena & Alessandro Blasimme - 2018 - Journal of Law, Medicine and Ethics 46 (1):119-129.
    To address the ethical challenges in big data health research we propose the concept of systemic oversight. This approach is based on six defining features and aims at creating a common ground across the oversight pipeline of biomedical big data research. Current trends towards enhancing granularity of informed consent and specifying legal provisions to address informational privacy and discrimination concerns in data-driven health research are laudable. However, these solutions alone cannot have the desired impact unless oversight activities (...)
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  50.  26
    Data-bodies and data activism: Presencing women in digital heritage research.Terrie Lynn Thompson - 2020 - Big Data and Society 7 (2).
    As heritage-as-the-already-occurred folds into heritage-in-the-making practices, temporal and spatial fluidity is made more complex by digital mediation and particularly by Big Data. Such liveliness evokes ontological, epistemological and methodological challenges. Drawing on more-than-human theorizing, this article reframes the notion of data-bodies to advance data activist-oriented research in heritage. Focused primarily on women, it examines how their distributed agency and voice with respect to data practices and the makings of heritage could be amplified. I describe three (...)
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