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Record W6926464559 · doi:10.25384/sage.c.5956440

Resistance towards increasing gender diversity in masculine domains: The role of intergroup threat

2022· other· en· W6926464559 on OpenAlexaff

Bibliographic record

VenueSage Journals Data · 2022
Typeother
Languageen
FieldNeuroscience
TopicNeuroscience and Neuropharmacology Research
Canadian institutionsBrock University
Fundersnot available
KeywordsDiversity (politics)Resistance (ecology)Gender diversityIngroups and outgroupsSocial identity theoryGender identityIdentity (music)Cultural diversity

Abstract

fetched live from OpenAlex

Efforts to increase diversity can often be met with resistance amongst high-status groups. Despite this, little is known about majority-group responses towards increasing gender diversity, and the psychological mechanisms underlying them. Across five studies, we extended intergroup threat theory to advance understanding of resistance towards gender diversity amongst men in masculine domains (Studies 1–3 and 5) and amongst women in feminine domains (Study 4). Experimental evidence from male STEM students (Study 1) and professionals (Studies 2 and 5) revealed that realistic threats underlie resistance. Experimentally reducing realistic threat (<i>N</i> = 165) reduced negative reactions. Whereas realistic-threat-based resistance towards increasing gender diversity did not extend to women in female-dominated domains (Study 4, <i>N</i> = 105), there was a tendency for women high in ingroup identity to show a similar pattern to men. We discuss how we advance theory on diversity resistance, and discuss strategies which may effectively reduce resistance.

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 categoriesOpen science, Insufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.758
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0050.009
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0130.000

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 head0.127
GPT teacher head0.372
Teacher spread0.245 · 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; a candidate call from one teacher head, not a consensus.

Study designNot applicable
Domainnot available
GenreEmpirical

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

Citations0
Published2022
Admission routes1
Has abstractyes

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