Children’s intergroup gender bias and self‐perceived same‐ and other‐gender similarity
Bibliographic record
Abstract
Children display intergroup bias in relation to gender. The present study examined whether children's self-perceived same- and other-gender similarity were related to their same- and other-gender positivity and negativity, respectively. Children aged 6-10 years (N = 149) were interviewed about their self-perceived similarity to girls and to boys and about the extent to which they thought positive and negative characteristics applied to boys and to girls. Among girls, greater self-perceived other-gender similarity was associated with more negativity towards the same gender. Similar to previous research, intergroup gender bias was more pronounced among girls, and children rated themselves as having more same- than other-gender similarity, with this pattern being more pronounced in boys. Thus, this study provides evidence suggesting that other-gender similarity is related to girls' negative attributions towards girls. It also replicates previous findings regarding gender differences in children's intergroup gender bias and gender similarity, respectively.
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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 | 0.000 |
| 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 | 0.001 |
| 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".