Climate control: The relationship between social identity threat and cues to an identity-safe culture.
Bibliographic record
Abstract
Social identity threat has been proposed as a key contributor to the underrepresentation of women in Science, Technology, Engineering, and Math (STEM), but little research has sought to pinpoint naturally occurring contextual predictors of identity threat for women already training or working in STEM. The focus of the present research was to examine how cues to an identity-safe culture predict more or less positive interactions between men and women in STEM in ways that may trigger or minimize women's daily experience of social identity threat. Specifically, we examined the role of inclusive organizational policies and/or greater female representation as 2 identity safety cues. In 2 daily diary studies of working engineers' experiences, and in an experiment with undergraduate engineering students, we tested a model whereby cues to identity safety predict lower social identity threat for women in STEM, as mediated by having (or expecting to have) more positive interactions with male (but not female) colleagues. Results across each study and an internal meta-analysis of overall effects revealed that female engineers' actual and anticipated daily experience of social identity threat was lower in organizations perceived to have more gender-inclusive policies (but was not consistently predicted by gender representation). The link between gender-inclusive policies and lower social identity threat was mediated by women having (or expecting to have) more positive conversations with male (and not female) colleagues, and was only found for women and not men. The implications for reducing social identity threat in naturalistic settings are discussed. (PsycINFO Database Record
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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 | 0.004 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.003 | 0.002 |
| Scholarly communication | 0.000 | 0.001 |
| 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".