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Record W7125783440 · doi:10.17605/osf.io/wemzd

When do Intraminority Antagonists work together?

2025· other· W7125783440 on OpenAlexaboutno aff
Daliah Marei, Becca Neel, Elizabeth Page-Gould

Bibliographic record

VenueOpen Science Framework · 2025
Typeother
Language
Field
Topic
Canadian institutionsnot available
Fundersnot available
KeywordsSolidarityOppressionIdentity (music)RacismAction (physics)ConsciousnessPerception

Abstract

fetched live from OpenAlex

Two major frameworks to intraminority solidarity, or solidarity between minority groups, have emerged: 1) stigma-based solidarity (SBS), or solidarity formed based on a shared identity of marginalization and 2) critical-consciousness (CC), or an awareness of interlocking systems of oppression (e.g., drawing similarities between structural racism and homophobia). Most of this work has focused on changing attitudes in lab settings and has ignored intraminority antagonists, or what we propose as groups who have negative relations (e.g., Jews and Muslims). To examine these two pathways, we will recruit Jewish (Study 1; N = 330) and LGBTQ+ participants (Study 2; N = 330) from US and Canada on Prolific to complete a survey. Participants will be screened for their support of the Palestinian movement. Participants will complete the critical consciousness scale, answer questions on the perceptions of shared marginalization with Palestinians and report their collective action and attitudes towards Palestinians. We expect CC, or at least one of its sub-dimensions, to be related to both attitudes and behaviors compared to stigma-based solidarity

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)0.015
metaresearch head score (Gemma)0.011
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMetaresearch, Meta-epidemiology (narrow), Bibliometrics, Science and technology studies, Scholarly communication, Open science, Research integrity, Insufficient payload (model declined to judge)
Consensus categoriesMeta-epidemiology (narrow), Science and technology studies, Open science, Research integrity, Insufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.403
Threshold uncertainty score0.998

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0150.011
Meta-epidemiology (narrow)0.0030.003
Meta-epidemiology (broad)0.0030.001
Bibliometrics0.0030.024
Science and technology studies0.0040.017
Scholarly communication0.0270.003
Open science0.0560.023
Research integrity0.0040.007
Insufficient payload (model declined to judge)0.1470.106

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 head0.023
GPT teacher head0.341
Teacher spread0.318 · 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
GenreOther

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
Published2025
Admission routes1
Has abstractyes

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Same venueOpen Science FrameworkFrench-language works237,207