“In Hopes of Becoming a Phoenix”: Application of Narrative Practices in Exploration of Preferred Identities of Youth Contemplating Suicide in North East India
Bibliographic record
Abstract
Narrative practices can provide newer ways to engage with individuals and communities in suicide prevention. This study is a pilot project that examined the applicability of narrative ideas in developing in-depth interview (IDI) and focus group discussion (FGD) probes to explore the preferred identities of young people who have contemplated suicide in Northeast India. Narrative ideas were embedded during the development of IDI and FGD probes and tested on five participants. The data collection utilized an IDI informed by the “absent but implicit” map and an FGD that followed the “definitional ceremony” approach. The narrative therapeutic approach brought out the broader sociocultural contexts of suicide, identifying skills and knowledge that young people use to respond to issues and uncovering intentions, hopes, and values of their lives. The approach also unfolded their collective experiences. The study provides ways to support young people with experiences of suicidality in moving from problem-saturated identities to preferred identities.
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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 | 0.004 | 0.005 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.006 | 0.007 |
| Scholarly communication | 0.004 | 0.003 |
| Open science | 0.001 | 0.005 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.001 | 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".