“What do you say to them?” investigating and supporting the needs of lesbian, gay, bisexual, trans, and questioning (LGBTQ) young people
Bibliographic record
Abstract
Abstract This study explores the experiences and support needs of lesbian, gay, bisexual, transgender and questioning (LGBTQ) young people living in Sussex (UK), and the training needs of practitioners working with LGBTQ young people. The aims were to explore the experiences of young people including bullying, “coming out,” social service and educational needs, and to investigate how practitioners view the needs of LGBTQ young people. Twenty‐nine interviews were conducted and analyzed thematically. Participants stressed the social and health impact of discrimination and bullying on young people as well as barriers faced in accessing services. Young people require support, yet practitioners lack the training to provide that support. Practitioners are open to this training and both groups of participants believe effective training should include youth in the development and delivery. There is an urgent need for the development of appropriate and dedicated LGBTQ youth training for all practitioners working with young people. © 2011 Wiley Periodicals, Inc.
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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 | 0.009 | 0.012 |
| 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 | 0.004 |
| Scholarly communication | 0.004 | 0.003 |
| Open science | 0.000 | 0.003 |
| Research integrity | 0.002 | 0.002 |
| Insufficient payload (model declined to judge) | 0.004 | 0.001 |
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".