Gender-identity typologies are related to gender-typing, friendships, and social-emotional adjustment in Dutch emerging adults
Why this work is in the frame
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Bibliographic record
Abstract
The current study examined emerging adults’ gender identity and its link with several gender-related and social outcomes, by using a novel dual-identity approach that was originally developed in children. Dutch emerging adults between 18 and 25 years old ( N = 318, M age = 21.73, SD = 2.02; 51% female) indicated their similarity to the own-gender group and the other-gender group to assess gender identity. They completed questionnaires assessing gender-typed behavior (internalized sexualization, toughness, emotional stoicism) and attitudes (i.e., sexism); friendship efficacy and ability; and social-emotional adjustment. Cluster analysis on the gender-identity items revealed four gender-identity types: (a) feeling similar to one’s own gender, but not to the other gender (Own-GS); (b) feeling similar to both one’s own and the other gender (Both-GS); (c) feeling dissimilar to one’s own gender (Low-Own-GS); and (d) feeling similar to neither gender (Low-GS). Own-GS and Low-GS adults were most gender-typed in their behavior and showed sexist attitudes. Both-GS adults felt efficacious and were highly able to relate to both genders, whereas the other groups felt efficacious and were able to relate to only one gender (Own-GS, Low-Own-GS), or to neither gender (Low-GS). Low-Own-GS and Low-GS were least well-adjusted social-emotionally. Findings suggest that identifying with one’s own gender is helpful for certain aspects of social-emotional adjustment but that also identifying with the other gender provides the advantage of flexible social and interpersonal skills and egalitarian gender attitudes.
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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 | 0.001 | 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 | 0.000 |
| 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 it