First- and Second-Hand Experiences of Enacted Stigma Among LGBTQ Youth
Bibliographic record
Abstract
Research on enacted stigma, or stigma- and bias-based victimization, including bullying and harassment, among lesbian, gay, bisexual, transgender, and queer (LGBTQ) youth often focuses on one context (e.g., school) or one form (e.g., bullying or microaggressions), which limits our understanding of these experiences. We conducted qualitative go-along interviews with 66 LGBTQ adolescents (14-19 years) in urban, suburban, town, and rural locations in the United States and Canada identified through purposive and snowball sampling. Forty-six participants (70%) described at least one instance of enacted stigma. Three primary themes emerged: (1) enacted stigma occurred in many contexts; (2) enacted stigma restricted movement; and (3) second-hand accounts of enacted stigma shaped perceptions of safety. Efforts to improve well-being among LGBTQ youth must address the diverse forms and contexts of enacted stigma that youth experience, which limit freedom of movement and potential access to opportunities that encourage positive youth development. School nurses can play a critical role in reducing enacted stigma in schools and in collaboration with community partners.
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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 | 0.003 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.007 | 0.006 |
| Scholarly communication | 0.003 | 0.002 |
| Open science | 0.001 | 0.005 |
| Research integrity | 0.001 | 0.002 |
| 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".