How Do Adolescent Social Determinants and Social Contexts Shape Adult Sexual Identification?
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
Abstract This study explores the social determinants of exclusively straight sexual identification in a large, nationally representative sample. Using data from the National Longitudinal Study of Adolescent to Adult Health and combining cross-classified multilevel models with social network analysis, we examine how straight identification varies across school, neighborhood, and network community contexts. We also test whether numerous determinants identified by prior ethnographic studies predict straight identification. The use of panel data enables us to establish temporal order, avoiding many of the disadvantages of cross-sectional studies. After controlling for attractions and sexual behaviors, we find persistent clustering of adult sexual identification by adolescent social context, suggesting that these contexts may shape later sexual identification. Religiosity, political conservatism, Black racial identification, migration status, and male identification were strong predictors of straight identification. This study provides the most comprehensive analysis of the social determinants of sexual identification to date as well as evidence on the generalizability of previous findings.
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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) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.004 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| 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