Re-Thinking Ethics and Politics in Suicide Prevention: Bringing Narrative Ideas into Dialogue with Critical Suicide Studies
Bibliographic record
Abstract
The purpose of this paper is to explore the conviviality between practices of narrative therapy and the emerging field of critical suicide studies. Bringing together ideas from narrative therapy and critical suicide studies allows us to analyze current suicide prevention practices from a new vantage point and offers us the chance to consider how narrative therapy might be applied in new and different contexts, thus extending narrative therapy's potential and possibilities. We expose some of the thin, singular, biomedical descriptions of the problem of suicide that are currently in circulation and attend to the potential effects on distressed persons, communities, and therapists/practitioners who are all operating under the influence of these dominant understandings. We identify some cracks in the dominant storyline to enable alternative descriptions and subjugated knowledges to emerge in order to bring our suicide prevention practices more into alignment with a de-colonizing, social justice orientation.
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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 | 0.071 | 0.058 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.005 | 0.002 |
| Science and technology studies | 0.017 | 0.128 |
| Scholarly communication | 0.026 | 0.028 |
| Open science | 0.004 | 0.016 |
| Research integrity | 0.008 | 0.016 |
| 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".