The Relationship between Dimensions of Collective Action, Introversion/ Extroversion, and Collective Action Endorsement among Women
Bibliographic record
Abstract
Given the psychosocial benefits of collective action for minority group members, we explored how the personality trait introversion/extroversion may contribute to current understandings of what motivates collective action among women. Dimensions of collective action that are consistent with introversion (e.g., low risk) were expected to predict greater endorsement of collective action among introverts, whereas dimensions consistent with extroversion (e.g., public) were expected to predict greater endorsement among extroverts. One hundred and seventy-nine women completed an online questionnaire, and regression analyses showed that among introverts, collective action rated lower in risk and social cost, but higher in effectiveness and formality predicted greater endorsement. Among extroverts, collective action rated as more public (vs. private) predicted greater endorsement. The implications of utilizing personality profiles to enhance collective action are discussed.
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How this classification was reachedexpand
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 | 0.001 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.002 | 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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, not a consensus.
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".