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Record W999190078 · doi:10.1037/e521512014-124

Canadians' Attitudes toward Immigrants who Claim Employment Discrimination

2012· dataset· en· W999190078 on OpenAlexaffabout
Natalia Lapshina, Victoria M. Esses

Bibliographic record

VenuePsycEXTRA Dataset · 2012
Typedataset
Languageen
FieldSocial Sciences
TopicNames, Identity, and Discrimination Research
Canadian institutionsWestern University
Fundersnot available
KeywordsImmigrationDemographic economicsEmployment discriminationLabour economicsPolitical scienceSociologyEconomicsLaw

Abstract

fetched live from OpenAlex

This dissertation examined how prejudice may operate in the treatment of immigrants when they claim workplace discrimination. In line with the Justification-Suppression Model of the Expression of Prejudice (JSM; Crandall & Eshleman, 2003), I expected more negative attitudes toward an immigrant claimant from a dissimilar culture (Iran) compared to an immigrant claimant from a similar culture (Britain) and a second generation Iranian Canadian. All three studies utilized experimental design. The results of Study 1 demonstrated that the Iranian claimant was especially likely to be seen as not having experienced discrimination, more deserving of and responsible for the dismissal, and was especially likely to be derogated, compared to an Iranian Canadian claimant. Attributions of personal responsibility mediated the effect of country of origin on target derogation and outcome deservingness. In Study 2, the claimant from Iran elicited more negative attitudes than a claimant from Britain. Moreover, participants who suppressed their prejudice less reported more bias against the claimant from Iran as compared to the Iranian Canadian claimant. In addition to the country of origin, Study 3 manipulated a source of attributions for discrimination. To do so, in addition to situational ambiguity, Study 3 added two other explanations for the discrimination claimant’s contract termination – one considered to be internal to the claimant and the other external. The results demonstrated suppression of prejudice against the claimant from Iran in all conditions. When the claimant was clearly unskilled for the job, there was an evidence of a “black sheep effect”- more negative attitudes toward the British claimant. Finally, in the situation with an authority figure responsible for discrimination, the second generation Iranian Canadian elicited more negativity. These effects may be explained by attributions of personal responsibility and judgements of outcome deservingness. Taken together, these studies demonstrate that prejudice toward skilled immigrants from dissimilar cultures may contribute not only to employment discrimination, but also interfere with their attempts to seek justice when they proceed with a claim of discrimination.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.002
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Insufficient payload (model declined to judge)
Consensus categoriesInsufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Dataset · Consensus signal: Dataset
Teacher disagreement score0.214
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.001
Science and technology studies0.0010.001
Scholarly communication0.0010.001
Open science0.0020.000
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0090.002

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.085
GPT teacher head0.410
Teacher spread0.325 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; both teacher heads agree on what is shown here.

Study designNot applicable
Domainnot available
GenreDataset

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations1
Published2012
Admission routes2
Has abstractyes

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