A Framework for Conceptualizing Black Trans Youth Suicide: Combining the Interpersonal Theory of Suicide With Intersectionality Theory
Bibliographic record
Abstract
In this article we frame the crisis of Black transgender and gender-nonconforming (TGNC) youth suicide in the context of interpersonal theory of suicide, intersectionality theory, postmodern therapeutic approaches, and critical suicidology in promoting liberatory care. The constructs of each theory are illuminated by a case study that explores the narrative of a Black trans femme teen as she navigates mental health treatment after a suicide attempt. Opportunities for clinician learning, advocacy, and best practice are discussed. Practical resources are provided in case excerpts to enhance clinicians’ understanding of topics such as gender-affirming care, respectful language, and intersections of anti-Black racism and transphobia. We close with a discussion of future directions for skill development and cultural humility in novice and seasoned providers working with this community.
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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 | 0.008 | 0.003 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.005 | 0.002 |
| Science and technology studies | 0.006 | 0.035 |
| Scholarly communication | 0.006 | 0.010 |
| Open science | 0.002 | 0.009 |
| Research integrity | 0.003 | 0.006 |
| 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".