Narratives of Suicidality, Alternative Education, and Resiliency: Implications for Social Work Practice and Research
Bibliographic record
Abstract
Suicidal behaviors and academic difficulties are characteristics that stigmatize youth as "bad" or "troubled" students. Alternative school programs aim to help students struggling with mental health and academic issues. This study explores how high school students make meaning of experiences of suicidality and resilience with respect to mainstream constructs of mental health, education, and identity. Three cases were selected from a sample of 44 interviews with alternative high school students: an 18-year-old White cisgender hetero-sexual male, a 17-year-old White transgender male (sexuality unspecified), and an 18-year-old Latina cisgender bisexual woman. A preliminary analysis of participant interviews with histories of severe suicidality informed this case selection. Using narrative analysis, common themes emerged: contamination versus redemption, the importance of having space, the physical experience of suicidality, and critical turning points in rejecting stigmatized identities. The findings have implications for practice and research focused on building student resiliency against suicidality.
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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 | 0.021 | 0.027 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.004 | 0.003 |
| Science and technology studies | 0.010 | 0.021 |
| Scholarly communication | 0.009 | 0.012 |
| Open science | 0.002 | 0.011 |
| Research integrity | 0.002 | 0.003 |
| 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".