Adolescent Girls and Their Family Members’ Attitudes Around Gendered Power Inequity and Associations with Future Aspirations in Karnataka, India
Bibliographic record
Abstract
Intergenerational differences in inequitable gender attitudes may influence developmental outcomes, including education. In rural Karnataka, India, we examined the extent of intergenerational (adolescent girls [AGs] vs. older generation family members) dis/agreement to attitudes around gendered power inequities, including gender roles and violence against women (VAW). Unadjusted and adjusted logistic regression examined associations between intergenerational dis/agreement to attitude statements and AGs' future educational and career aspirations. Of 2,457 AGs, 90.9% had a matched family member (55% mothers). While traditional gender roles were promoted intergenerationally, more AGs supported VAW than family members. In adjusted models, discordant promotion of traditional gender roles and concordant disapproval of VAW were associated with greater aspirations. Results highlight the need for family-level programming promoting positive modeling of gender-equitable attitudes.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 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 source (direct Gemma or distilled Codex), 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".