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The Interference of Stereotype Threat With Women's Generation of Mathematical Problem‐Solving Strategies

2001· article· en· 329 citations· W2037079344 on OpenAlex· 10.1111/0022-4537.00201

Why is this work in the frame?

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

Canadian affiliationAn author listed a Canadian institution. This is the only route the usual frame has.

Full frame distilled prediction

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.

Candidate categories
none
Consensus categories
none
Domain
Candidate signal: noneConsensus signal: none
Study design
Candidate signal: QualitativeConsensus signal: Qualitative
Genre
Candidate signal: EmpiricalConsensus signal: Empirical
Teacher disagreement score
0.114
Threshold uncertainty score
0.226
Validation status
machine_predicted_unvalidated · codex-gemma-dda1882f352a

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.001
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

Machine scores (provisional)

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

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.

Opus teacher head0.052
GPT teacher head0.363
Teacher spread
0.311 · how far apart the two teachers sit on this one work
Validation status
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Abstract

At the highest levels of math achievement, gender differences in favor of men persist on standardized math tests. We hypothesize that stereotype threat depresses women's math performance through interfering with their ability to formulate problem‐solving strategies. In Study 1, women underperformed in comparison to men on a word problemm test, however, women and me performed equally when the word problems were converted into their numerical equivalents. In Study 2, men and women worked on difficult problems, either in a high‐ or reduced‐stereotype‐threat condition. Problem‐solving strategies were coded. When stereo‐type threat was high, women were less able to formulate problem‐solving strategies than when stereotype threat was reduced. The effect of stereotype threat on cognitive resources and the implications for gender differences in mathematical testing are discussed.

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.

The record

Venue
Journal of Social Issues
Topic
Social and Intergroup Psychology
Field
Social Sciences
Canadian institutions
University of Waterloo
Funders
not available
Keywords
Stereotype threatStereotype (UML)CognitionPsychologyTest (biology)Mathematical problemSocial psychologyInterference (communication)Cognitive psychologyComputer scienceMathematics education
Has abstract in OpenAlex
yes