Precarious Partnerships: Designing a Community Needs Assessment to Develop a System of Care for Gay, Lesbian, Bisexual, Transgender and Questioning (GLBTQ) Youths
Bibliographic record
Abstract
This article describes the planning and implementation of a mixed-method community needs assessment with the intent of creating a system of care for gay, lesbian, bisexual, transgender, and questioning (GLBTQ) youths in an urban area. Flowing from qualitative to quantitative research strategies, this needs assessment utilized key informant interviews, focus groups, and survey research in a countywide initiative. Rather than outline each set of findings, this article provides a brief description of the four phases of research activities and the action steps that were completed during each phase. Community context for the needs assessment is described in detail and a final system of care is proposed. Notable barriers and challenges associated with the community needs assessment are also articulated.
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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 | 0.026 | 0.036 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.003 | 0.001 |
| Science and technology studies | 0.012 | 0.003 |
| Scholarly communication | 0.003 | 0.005 |
| Open science | 0.002 | 0.010 |
| Research integrity | 0.002 | 0.002 |
| Insufficient payload (model declined to judge) | 0.003 | 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".