Revaluing Indigenous Models in Suicidology: A Brief Narrative Synthesis
Bibliographic record
Abstract
This review uses an anti-colonial approach to explore the characteristics of Indigenous interventions and best practice relating to suicidality. Well-established interventions led by Indigenous communities exist globally, yet their prevalence in academic discussions of suicide is comparatively limited. This represents a missed opportunity for the field of suicidology to learn from Indigenous community-driven models, which have the potential to be translated across contexts. The challenges of sharing best practice Indigenous interventions in academic literature can be situated within a pervasive colonial discourse, which categorises suicide as an ‘Indigenous problem’ and creates ill-fitted evaluation and intervention methodologies. Here, we provide a brief narrative synthesis of contemporary research on Indigenous suicide intervention models in Australia, Aotearoa New Zealand, the United States and Canada, focusing on key characteristics of interventions and a selection of Indigenous community-driven projects. These characteristics are: cultural and collective approaches as protective factors; recognising social determinants of health and the impact of colonisation; community control and governance; evaluation and available research; and relationships and connection. We discuss issues of sustainability, funding, decontextualised research, and publishing and put forward recommendations for future research. Rebalancing academic discussions to centre Indigenous leadership and culturally grounded research and practice is not without its challenges and complexity but can crucially enrich the field of suicidology.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.004 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.002 |
| Science and technology studies | 0.016 | 0.002 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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 teacher head, 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".