Children’s Appraisals of Gender Nonconformity: Developmental Pattern and Intervention
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
Gender-nonconforming (GN) children are often perceived less positively, which may harm their well-being. We examined the development of such perceptions and an intervention to modify them. Chinese children's appraisals were assessed using multiple measures (verbal responses, sharing, and rank order task) after viewing vignettes of gender-conforming (GC) and GN hypothetical peers. In Study 1, children (N = 210; 4-, 5-, 8-, and 9-year-olds) were less positive toward GN than GC peers, especially if they were older or if the peers were boys. In Study 2 (N = 211, 8- and 9-year-olds), showing children exemplars of GN peers who displayed positive and GC characteristics subsequently reduced bias against gender nonconformity. These findings inform strategies aimed at reducing bias against gender nonconformity.
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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 | 0.000 | 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 | 0.000 | 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