MétaCan
Menu
Back to cohort

Lingering Effects: Stereotype Threat Hurts More than You Think

2011· article· en· W1533243501 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueSocial Issues and Policy Review · 2011
Typearticle
Languageen
FieldSocial Sciences
TopicSocial and Intergroup Psychology
Canadian institutionsThe Scarborough HospitalUniversity of Toronto
Fundersnot available
KeywordsStereotype threatPrejudice (legal term)PsychologySocial psychologyFeelingSpillover effectCoping (psychology)Stereotype (UML)Clinical psychology

Abstract

fetched live from OpenAlex

Starting with the first realization that negative stereotypes can cause people to underperform in the stereotyped domain, an impressive body of work has documented the robust and wide‐ranging nature of stereotype and social identity threat. In this article, we look beyond the stereotyped ability domain and present evidence that coping with stereotypes and prejudice can linger, affecting a broad range of behaviors even in areas unrelated to the stigmatized ability. This stereotype threat spillover occurs because coping with negative stereotypes and prejudice leaves self‐control resources depleted for challenges that arise later, even in unrelated situations. We suggest a number of different ways that individuals can empower and hopefully inoculate themselves against spillover including shifting appraisals and adopting positive coping strategies. We also discuss societal changes, encouraging governments and other organizations to enact policy that will reduce the prevalence of stereotyping and cultivate feelings of intrinsic motivation to reduce prejudice.

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.

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)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: none
Teacher disagreement score0.929
Threshold uncertainty score0.981

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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 head0.075
GPT teacher head0.427
Teacher spread0.352 · 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