Previous research has showed that Chinese rural-to-urban migrant adolescents are at high risk for discrimination, negative emotions, and aggression. However, little is known about how discrimination, negative emotions, and aggression are interrelated and whether social support addressing the emotional needs of the adolescents would moderate the relationship of discrimination to aggression. This study attempts to fill these gaps. Based on prior research, it is proposed that perceived discrimination relates to reactive aggression by increasing negative emotions that (...) foster aggressive responses to stressful events. Considering the central role that negative emotions may play, it is also hypothesized that socioemotional support provided by family, friends, and community mitigates the impact of perceived discrimination on reactive aggression by reducing negative emotions. The results obtained from the analysis of two-wave survey data collected from a probability sample of 470 migrant students aged 11–17 in China supported these hypotheses. The findings indicate that perceived discrimination fosters negative emotions, which in turn increase reactive aggression. Additionally, socioemotional support reduces the adverse impact of perceived discrimination on reactive aggression by weakening the link between perceived discrimination and negative emotions. Practical and policy implications of these findings are discussed. (shrink)

The statistics-based method ignores the semantic constraints in the English grammar area branch training model and is unable to identify the orientation information effectively. This paper systematically discusses the close relationship between English grammar area branch training model filtering, English grammar area branch training model retrieval, and machine learning. By analyzing the role of the situation in the understanding of the English grammar area branch training model, the relationship between the English grammar area branch training (...) class='Hi'>model and situation model and the correlation between the features of the English grammar area branch training model and situation model are determined, and then, a set of filtering methods for the English grammar area branch training model are proposed. At present, there are few research studies on bias filtering, and the method of thematic filtering is generally used, which has poor effect. This paper makes full use of the domain knowledge and adopts the semantic pattern analysis technology to establish a wealth of semantic analysis resources, including various dictionaries, rules, and weight representation, so as to effectively filter the inclined English grammar area branch training model. The introduction of semantic data sources solves the problem of data sparsity and cold start in the traditional collaborative filtering system. In addition, in order to improve the scalability and real-time performance of the recommendation system, the data mining method is used to perform fuzzy clustering for users and projects in the offline data preprocessing stage. This paper proposes a search and filter scheme based on the orientation of the training model in English grammar area, elaborates on the details, constructs a whole set of function structure from representation to weight, and gives the experimental results, which prove that the system has a good filtering effect and is fast. Compared with the traditional statistical methods, the results are satisfactory. (shrink)

The status of indirect discrimination is ambiguous in the current literature. This paper addresses two contemporary and related debates. First, for some, indirect discrimination is not truly a distinct kind of discrimination, but it is simply a legal construct designed to address distributive inequalities between groups. Second, even if one accepts that indirect discrimination is a distinct type of discrimination, the connection between the two kinds of discrimination, direct and indirect, is debated. For some, (...) they are distinct act-types, while for others, indirect discrimination should be conceived as a side effect of prior cases of direct discrimination. In this paper, I argue that indirect discrimination is a distinct act-type that can take place without being connected to prior instances of direct discrimination. (shrink)

In some applications to human beings, the precautionary principle seems to raise specific ethical concerns. For instance, it has been used by a business owner in a court of justice to justify his refusal to hire applicants with a certain geographical origin for safety reasons. Or in public management, the precautionary principle has been used to exclude men who have sexual relations with men from donating blood on the basis of a higher HIV prevalence in this group. Does not the (...) precautionary principle here amount to justifying a form of discrimination? To help analyze what is at stake from a decision-theoretic viewpoint and to consider the possibility of ethical catastrophes, we offer a lexical utility model of the precautionary principle, which generalizes a previous model by Bartha and DesRoches (Synthese 199:8701–8740, 2021), Steel and Bartha (Risk Anal https://doi.org/10.1111/risa.13892, 2022). Traditional expected utility theory also comes out as a special case of the model. Our proposal opens new perspectives for considering ethical dilemmas within a precautionary approach. It is intended to serve as a guiding tool for management teams in socially responsible companies, public institutions, and government agencies. (shrink)

Under the presupposition that human time perception is distorted in intertemporal choice, this study constructs a time scale in the framework of axiomatic measurement. First, the conditions (homogeneity of degree one or two) to identify the form of a time scale are proposed so that one can determine whether the hyperbolic or exponential is a more suitable function for modeling people’s discounting. Homogeneity of degree one implies that subjective time delay is measured by a power scale and its discount function (...) becomes a power-exponential type, whereas homogeneity of degree two implies that subjective time delay is measured by a log scale and its discount function becomes a hyperbolic type. Second, a method is shown for constructing a model that can reflect subadditive and superadditive discounting. A non-commutative and non-associative concatenation operation is provided to generate a time string consisting of subdivided durations that incorporates the effect of repeated delay with a subdivided duration. The discounting model is yielded by substituting these strings in an exponential model equipped with a generalized time scale, and the determination of subadditivity or superadditivity depends on whether the discount function value of a product by the non-commutative and non-associative operation is, respectively, smaller or greater than that of a product by an operation of the usual extensive structure. (shrink)

Increasing numbers of decisions about everyday life are made using algorithms. By algorithms we mean predictive models (decision rules) captured from historical data using data mining. Such models often decide prices we pay, select ads we see and news we read online, match job descriptions and candidate CVs, decide who gets a loan, who goes through an extra airport security check, or who gets released on parole. Yet growing evidence suggests that decision making by algorithms may discriminate people, even if (...) the computing process is fair and well-intentioned. This happens due to biased or non-representative learning data in combination with inadvertent modeling procedures. From the regulatory perspective there are two tendencies in relation to this issue: (1) to ensure that data-driven decision making is not discriminatory, and (2) to restrict overall collecting and storing of private data to a necessary minimum. This paper shows that from the computing perspective these two goals are contradictory. We demonstrate empirically and theoretically with standard regression models that in order to make sure that decision models are non-discriminatory, for instance, with respect to race, the sensitive racial information needs to be used in the model building process. Of course, after the model is ready, race should not be required as an input variable for decision making. From the regulatory perspective this has an important implication: collecting sensitive personal data is necessary in order to guarantee fairness of algorithms, and law making needs to find sensible ways to allow using such data in the modeling process. (shrink)

Perceived discrimination has consistently been shown to be associated with diminished mental health, but the psychological processes underlying this link are less well understood. The present series of four studies assessed the role of a history traumatic events in generating a proliferation of discrimination stressors and threat appraisals, which in turn predict psychological distress (depressive and posttraumatic stress symptoms) (mediation model), or whether prior traumatic events sensitize group members, such that when they encounter discrimination, the link (...) to stress-related symptoms is heightened (moderation model). Each of the studies assessed a different marginalized group in Canada, including Indigenous peoples, Blacks, Jews, and a diverse sample of women. Participants completed measures assessing history of traumatic events, perceived explicit and ambiguous discrimination, discrimination threat appraisals, and symptoms of depression and posttraumatic stress. The four populations varied in their experiences, with Indigenous peoples encountering the highest levels of trauma, discrimination, and psychological distress symptoms. A mediated model was evident among Indigenous peoples and women, possibly reflecting the role of systemic processes that engender discrimination when traumatic events are experienced. There was evidence for a moderating role of a history of traumatic events on the relations between discrimination and depressive symptoms among Jewish and Black participants. Although the hypothesized synergistic effects of traumatic experiences were noted when assessing the relation between perceived discrimination and depressive symptoms among Jews, the presence of trauma blunted these relations among Blacks. The results suggest that trauma-informed approaches to addressing stress-related processes and psychological outcomes need to consider the unique social context of members of various socially marginalized groups. (shrink)

1,857 adults rated the grandparental solicitude they received in childhood. Through a simple model based on the evolutionary concepts of ontogenetically differentiated reproductive strategy and paternity confidence, an ordered discriminative pattern of grandparental caregiving was predicted and confirmed by solid main effects, based on 603 complete cases. The maternal grandmother was the most caring. Unlike prevalent gender stereotypes, she was followed by the maternal grandfather, the paternal grandmother, and the paternal grandfather. The preferential grandparental solicitude was not influenced by (...) residential distance, grandparent age, and availability of other grandparents. A predicted higher correlation for male than for female progenitors between solicitude and phenotypic resemblance could be confirmed. (shrink)

Salop’s “Circular City” model of spatial competition is generalized to higher dimensions, and to “transportation” costs which are a power of distance. Assuming free entry, mill pricing is compared to location-based price discrimination. For dimensions above one, there is some too little entry below some cutoff power, and too much entry above it. This cutoff cost-power rises with dimension, and is larger under price discrimination. Mill pricing induces more entry for powers of four or less, and less (...) entry for powers of five or more. Overall, too much entry seems a more severe problem, which tends to price discrimination. (shrink)

People may be subjected to discrimination from a variety of sources in the workplace. In this study of mental health workers, we contrast four potential perpetrators of discrimination (managers, co-workers, patients, and visitors) to investigate whether the negative impact of discrimination on victims’ well-being will vary in strength depending on the relative power of the perpetrator. We further explore whether the negative impact of discrimination is at least partly explained by its effects on people’s sense of (...) organizational justice, and whether the strength of mediation varies according to the source of discrimination. Using survey data from 1,733 UK mental health workers, a structural equation model was designed to test these hypotheses following a bootstrap approach. Discrimination from all sources was related to well-being, with that from managers having the strongest effects. The results support an explanation of the effect of discrimination on well-being in terms of organizational justice perceptions for discrimination from managers and from visitors, but less so for discrimination from co-workers or from patients. The study highlights the importance of differentiating amongst sources of discrimination at work and the salience of organizational justice perceptions in explaining the effects of discrimination from some sources. (shrink)

Western liberal democracies tend to impose duties on public and private bodies that are often formulated as an obligation not to discriminate. For instance, the European Union prohibits direct and indirect discrimination on certain grounds in certain contexts. Under this model, indirect discrimination involves a measure that, although it does not directly (i.e. explicitly) discriminate on the basis of a proscribed ground, produces a disparate impact that correlates with such a proscribed ground. Indirect discrimination is generally (...) viewed, both conceptually and politically, as subordinate to direct discrimination. Professor John Gardner has argued that anti-discrimination law is justified on the basis of duties to respect other people's autonomy. On the base of this analysis, he argues that indirect discrimination is a secondary concept to the paradigm wrong of direct discrimination. I contend in this article that, if one adopts Gardner's autonomy-based analysis of anti-discrimination law, indirect discrimination is not a secondary concept to direct discrimination. Further, I argue that autonomy does not provide a convincing justification for the prohibition of either direct or indirect discrimination. I tentatively suggest, however, that the widespread impact of certain types of discrimination (alluded to by Gardner) may support an equality-based justification for the prohibition of both direct and indirect discrimination. (shrink)

We use game theoretic models to take an in-depth look at the dynamics of discrimination and academic collaboration. We find that in collaboration networks, small minority groups may be more likely to end up being discriminated against while collaborating. We also find that discrimination can lead members of different social groups to mostly collaborate with in-group members, decreasing the effective diversity of the social network. Drawing on previous work, we discuss how decreases in the diversity of scientific collaborations (...) might negatively affect the progress of epistemic communities. (shrink)

Extreme Learning Machine is widely used in various fields because of its fast training and high accuracy. However, it does not primarily work well for Domain Adaptation in which there are many annotated data from auxiliary domain and few even no annotated data in target domain. In this paper, we propose a new variant of ELM called Discriminative Extreme Learning Machine with Cross-Domain Mean Approximation for unsupervised domain adaptation. It introduces Cross-Domain Mean Approximation into the hidden layer of ELM to (...) reduce distribution discrepancy between domains for domain bias elimination, which is conducive to train a high accuracy ELM on annotated data from auxiliary domains for target tasks. Linear Discriminative Analysis is also adopted to improve the discrimination of learned model and obtain higher accuracy. Moreover, we further provide a Discriminative Kernel Extreme Learning Machine with Cross-Domain Mean Approximation as the kernelization extension of DELM-CDMA. Some experiments are performed to investigate the proposed approach, and the result shows that DELM-CDMA and DKELM-CDMA could effectively extend ELM suitable for domain adaptation and outperform ELM and many other domain adaptation approaches. (shrink)

This article proposes a framework for the analysis of experienced discrimination in home mortgages. It addresses the problem of home mortgage lending discrimination in one of the richest areas of northern Italy. Employees of a local hospital were interviewed to study their perception of discriminatory behavior related to home financing. The analysis follows two steps. The first evaluates self-selection and the second focuses on the likelihood that applications are accepted by the bank. Findings show that discrimination is (...) likely to appear when the applicant’s nationality is considered. In addition to its findings, the study provides an original econometric model on a two-step procedure to test perceived discrimination and suggests a method and approach that may constitute a point of reference for those willing to study perceived discrimination. (shrink)

This Open-Access-book examines the phenomenon of discrimination using a descriptive approach. Discrimination is omnipresent, whether it is people who discriminate against other people or, more recently, also machines that discriminate against people. The first part of the analysis employs decision theory on discrimination, leading to two fundamental subtypes: taste-based discrimination and statistical discrimination. The second part links taste-based discrimination to social identity theory, demonstrates that not all taste-based discrimination is ultimately statistical discrimination, (...) and reveals the evolutionary origins of our tastes. The third part surveys how people get their beliefs for statistical discrimination and thereby shows that they often deviate from Bayesianism: they have inherent prior beliefs and do not exclusively update their beliefs according to Bayes’ law. Additionally, the analysis of belief formation highlights the importance of the learning environment. The last part reassembles the previously dissected aspects of discrimination, presents a new descriptive model of discrimination, and lists five implications for a normative theory of discrimination. (shrink)

This paper implements the continuous Hindi Automatic Speech Recognition (ASR) system using the proposed integrated features vector with Recurrent Neural Network (RNN) based Language Modeling (LM). The proposed system also implements the speaker adaptation using Maximum-Likelihood Linear Regression (MLLR) and Constrained Maximum likelihood Linear Regression (C-MLLR). This system is discriminatively trained by Maximum Mutual Information (MMI) and Minimum Phone Error (MPE) techniques with 256 Gaussian mixture per Hidden Markov Model(HMM) state. The training of the baseline system has been done (...) using a phonetically rich Hindi dataset. The results show that discriminative training enhances the baseline system performance by up to 3%. Further improvement of ~7% has been recorded by applying RNN LM. The proposed Hindi ASR system shows significant performance improvement over other current state-of-the-art techniques. (shrink)

While Specific Informed Consent has been the established standard for obtaining consent for medical research for many years, it does not appear suitable for large-scale biobank and health data research. Thus, alternative forms of consent have been suggested, based on a variety of ethical background assumptions. This article identifies five main ethical perspectives at stake. Even though Tiered Consent, Dynamic Consent and Meta Consent are designed to the demands of the self-determination perspective as well as the perspective of research as (...) a public good, they are still also criticized from both perspectives. In addition, criticisms based on concerns of justice, participation and democratic deliberation, and relational concerns have been levelled at each of the models. As all of these perspectives have valid points to make, the task at hand lies in balancing these ethical perspectives. What constitutes an adequate balancing depends on contextual factors. These factors include digital infrastructure and digital literacy, data safety regulation, good scientific and clinical practice, transparent debates on ethically relevant features of research, social inequalities, anti-discrimination laws and practices, trust in health care institutions and recognition of patient preferences, and consensus on unethical research. We argue that the role of context in determining acceptable models of consent puts the ethical importance of models of consent into perspective. Since altering contextual factors can help to live up to the ethical concerns at stake in debates about models of consent, opting for such a shift of focus comes without ethical loss. (shrink)

We explore the following two cognitive questions regarding crosslinguistic variation in lexical semantic systems: Why are some linguistic categories—that is, the associations between a term and a portion of the semantic space—harder to learn than others? How does learning a language‐specific set of lexical categories affect processing in that semantic domain? Using a computational word‐learner, and the domain of color as a testbed, we investigate these questions by modeling both child acquisition of color terms and adult behavior on a non‐verbal (...) color discrimination task. A further goal is to test an approach to lexical semantic representation based on the principle that the more languages label any two situations with the same word, the more conceptually similar those two situations are. We compare such a crosslinguistically based semantic space to one based on perceptual similarity. Our computational model suggests a mechanistic explanation for the interplay between term frequency and the semantic closeness of learned categories in developmental error patterns for color terms. Our model also indicates how linguistic relativity effects could arise from an acquisition mechanism that yields language‐specific topologies for the same semantic domain. Moreover, we find that the crosslinguistically inspired semantic space supports these results at least as well as—and in some aspects better than—the purely perceptual one, thus confirming our approach as a practical and principled method for lexical semantic representation in cognitive modeling. (shrink)

Rubin, Hannah, and Cailin O’Connor (2018. “Discrimination and Collaboration in Science.” Philosophy of Science 85 (3): 380–402) introduced a game-theoretic model to examine the dynamics of collaboration and discrimination in academia. They found that small minority groups face higher rates of discrimination in collaboration, despite moral and legal demands for equality. This paper extends their work by assessing the effectiveness of anti-discrimination measures, focusing on German legal provisions for discrimination in the workplace: internal complaints (...) boards and training and organisational measures as mandated by the General Equal Treatment Act. My results show that internal boards are effective in preventing discrimination in initially fair (i.e. non-discriminatory) environments, but fall short in already discriminatory environments. In contrast, training and organisational measures significantly reduce discriminatory behaviour, even where awareness is low. This highlights the importance of proactive anti-discrimination measures. (shrink)

In this paper I argue that certain ways in which the relationship among discrimination, emotions and health is presented can undermine equity. I identify a model of this relationship the discrimination-emotion-health model - and claim that while the model is important for understanding the detrimental impact that discrimination and oppression can have on emotions and health, certain implications of the model are troubling. I identify six critiques of the model, and show that (...) equity could be undermined, for example, when stereotypes of the oppressed are reinforced and the experiences of the privileged are normalized. I then assess the implications of my analysis of the model and its critique for a framework of health equity, demonstrating what such a framework would need to look like in order for it to best represent discrimination as a psychosocial determinant of health. (shrink)

Against the background of a deeply uneven package of work–family reconciliation measures and an increasing focus on engaging men in unpaid care work, in this article I discuss the extension of the Irish discrimination law framework to provide protection against family status discrimination to workers who are engaged in certain care relationships. While this development of the law to recognize a relational understanding of inequality is welcome, its confined definition of family status fails to capture the range of (...) workers’ caring relationships and networks. Adopting a contextualized assessment of 12 years of litigation generated under the ‘family status’ ground, with reference to complainants’ gender and work status, the study considers the types of experiences being litigated as ‘family status’ discrimination. The study show how much of the nature and forms of inequality presented before the tribunals are beyond the conceptual boundaries of the principle of equal treatment that depends upon a sameness of treatment model with the ‘care-less’ comparator. Despite its potential to question the neutrality of workplace structures predicated upon the division between paid work and unpaid care, the principle of indirect family status discrimination has been under utilised as a litigation strategy. The most successful dimension of family status discrimination protection has been in respect of its ability to capture the negative stereotyping of worker–carers who continue to perform as ideal workers. I suggest that this extension of a limited negative rights framework, when considered alongside the state’s extremely poor support for workcare reconciliation more broadly, places negligible obligations on employers, and that the gender neutrality implicit in its provisions have yet to impact on gender equality as regards work–care reconciliation. (shrink)

Discrimination law is a possible application of the methods of causal modelling. With it, it brings the possibility of direct statistical evidence on counterfactual questions, something that traditional techniques like multiple regression lack. The kinds of evidence that causal modelling can provide, in large part due to its attention to counterfactuals, is very close to the key question that we ask of jurors in discrimination cases. With this new kind of evidence comes new opportunities. We can better proportion (...) punitive damages to the severity of the discrimination that manifests in a hiring process. We can avoid making certain kinds of assumptions regarding the relationship between protected classes and hiring qualifications that other statistical methods demand from statisticians. We can also distribute restitution to individual claimants in a way that is proportionate to how their application was treated in the hiring process. Here we explore where and how causal modelling can be useful in discrimination law and policy. What elements of law provide friction with this mode of gathering statistical evidence, what new possibilities does it reveal, and how does this integrate with prior judgments regarding statistical evidence? (shrink)

Mechanistic models in molecular systems biology are generally mathematical models of the action of networks of biochemical reactions, involving metabolism, signal transduction, and/or gene expression. They can be either simulated numerically or analyzed analytically. Systems biology integrates quantitative molecular data acquisition with mathematical models to design new experiments, discriminate between alternative mechanisms and explain the molecular basis of cellular properties. At the heart of this approach are mechanistic models of molecular networks. We focus on the articulation and development of mechanistic (...) models, identifying five constraints which guide the articulation of models in molecular systems biology. These constraints are not independent of one another, with the result that modeling becomes an iterative process. We illustrate the use of these constraints in the modeling of the mechanism for bistability in the lac operon. (shrink)

Gender discrimination is a reality affecting an important part of the socio-economic life. The study aims to examine, by using quantitative techniques, the main tendencies in the Romanian society regarding gender discrimination, as perceived by the young, educated population. In order to meet the objectives of the study, a cluster sampling was performed among the Romanian students. The results from the statisti- cal sampling were compared to national data from several studies made by national and international organizations. In (...) the final part of the study, the findings of sampling research are validated by a logit model. The model is presenting the main factors that are generating gender discrimination, as well as the most important variables throughout which discrimination is perceived in Romania. (shrink)

This paper explores the psychological phenomena of sex stereotypes and their consequences for the occurrence of sex discrimination in work settings. Differential conceptions of the attributes of women and men are shown to extend to women and men managers, and the lack of fit model is used to explain how stereotypes about women can detrimentally affect their career progress. Commonly-occurring organizational conditions which facilitate the use of stereotypes in personnel decision making are identified and, lastly, data are provided (...) demonstrating the way in which affirmative action programs and practices can act to promote the stereotyping of women suggesting, that rather than being a remedy for sex discrimination, such programs might in fact be another contributor to the problem. Conclusions focus on the importance of attending to the role sex stereotypes play in hindering women's career progress when procedures to combat sex discrimination in organizations are designed and implemented. (shrink)