Relationships Between Critical Thinking and Attitudes Toward Women's Roles in Society
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.
Bibliographic record
Abstract
This exploratory study is the first examination of the relationships between critical thinking--as measured by subscales on the Watson-Glaser Critical Thinking Appraisal Form S (WGCTA Form S; G. B. Watson & E. M. Glaser, 1994)-and attitudes toward women's roles in society--as measured by subscales on the Attitudes Toward Women Scale (AWS: J. T. Spence & R. L. Helmreich, 1972). The authors hypothesized that greater critical thinking skills would be associated with more liberal attitudes toward women's roles in society. Results from a sample of 90 nursing and management undergraduates supported the hypothesis. There were moderate correlations between scores from the WGCTA Form S Inference (.24 to .37) and Deduction (.19 to .26) subtests and scores from the AWS Freedom and Independence; Marital Relationships and Obligation; and Vocational, Educational, and Intellectual Roles subscales. These findings suggest that further research with larger samples and cross-cultural samples is warranted.
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Full frame distilled prediction
Teacher imitationNot 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.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.005 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
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.
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