COME ALONG WITH ME: LINKING LGBTQ YOUTH TO SUPPORTIVE RESOURCES
Bibliographic record
Abstract
In this study, we examine how lesbian, gay, bisexual, transgender, and queer (LGBTQ) youth, who tend to experience greater feelings of isolation and discrimination than heterosexual youth, find and become integrated into supportive activities and resources. As part of a larger study on supportive lesbian, gay, bisexual, transgender, and queer youth environments, 66 go-along interviews with LGBTQ youth, from Massachusetts, Minnesota, and British Columbia were conducted. Analysis of these interviews identified important cues that prompt self-agency and integration into supportive environments and affirmative identities. In particular, we argue <em>indirect links </em>or cues<em> </em>such as media and print advertisements increase awareness of supports and resources, while <em>personal links,</em> such as referrals from trusted friends, adults, and regularly attended programs, can help youth form denser networks of support.
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How this classification was reachedexpand
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 | 0.000 | 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 | 0.000 |
| 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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, 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".