Intersectional Social Support: Gender, Race, and LGBTQ Youth Friendships
Bibliographic record
Abstract
Lesbian, gay, bisexual, transgender, and queer (LGBTQ) youth experience disproportionate mental health challenges due to minority stress. Little research, however, has considered how social support from intragenerational friends impacts the mental health of LGBTQ youth, particularly for LGBTQ youth of color. Based mainly on qualitative interviews from a longitudinal study with 83 LGBTQ youth from California and Texas, we develop the concept of intersectional social support —how multiply marginalized individuals subjectively interpret social support and how they view social support from similar multiply marginalized others. More specifically, the findings of this study capture how the intersecting identities of age, sexuality, gender, and race can shape the meanings and experiences of receiving familial support, emotional support, informational support, and instrumental support. This study is an important contribution to understanding how intersecting identities influence how people perceive social support practices and manage their mental health.
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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 | 0.001 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.005 | 0.003 |
| Scholarly communication | 0.003 | 0.002 |
| Open science | 0.001 | 0.005 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.004 | 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".