Identifying suicidal risk factors in the French Overseas Territories with multimethod psychological autopsy (AUTOPSOM): a mixed-methods study protocol
Bibliographic record
Abstract
INTRODUCTION: Understanding suicide in more isolated territories is a challenge because of the entanglement of cultural identity with historical, geographical and sociocultural specificities. This knowledge is a necessary precondition for the implementation of targeted prevention strategies in regions such as the French overseas territories (FOT), where data concerning suicidal risk factors is still incomplete. We aim to untangle sociocultural and clinical suicide risk factors by integrating a novel anthropological and psycholinguistic approach into the psychological autopsy method. This article describes the protocol of the clinical study 'Contribution of Psychological Autopsy to the Understanding of Suicidal Behaviours in Overseas France' (AUTOPSOM study), designed to identify common or new specific suicide risk factors in four FOT. METHODS AND ANALYSIS: A multicentre epidemiological study will be carried out in four FOTs (French Polynesia, Martinique, La Reunion and French Guiana) and at a comparison site in mainland France (La Somme). The methodology will be based on a mixed-methods (quantitative and qualitative) approach using a psychological autopsy to collect clinical data and life events in the deceased's life. We implemented an exploratory multimethod strategy that combines a succession of epidemiological, anthropological, psycholinguistic and psychological methods with a semiautomated analysis of the discourse of relatives bereaved by suicide. ETHICS AND DISSEMINATION: The study protocol (first version) was approved by the French Ethics Committee (CPP OUEST II, approval #22.04267.000122) and the Ethics Committee of French Polynesia (JOPF of 5 April 2022; CEPF opinion n°91 of 29 March 2022). The overall results and the perspectives established at the end of the study will be communicated to the bereaved relatives according to their will and serve for local suicide prevention purposes. TRIAL REGISTRATION NUMBER: NCT05773898.
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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 | 0.046 | 0.021 |
| Meta-epidemiology (narrow) | 0.003 | 0.002 |
| Meta-epidemiology (broad) | 0.002 | 0.002 |
| Bibliometrics | 0.004 | 0.002 |
| Science and technology studies | 0.003 | 0.002 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.003 | 0.002 |
| Research integrity | 0.003 | 0.002 |
| Insufficient payload (model declined to judge) | 0.017 | 0.003 |
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".