FUNCTIONAL ASSESSMENT IN FAMILIES OF PEOPLE WITH SUICIDAL BEHAVIOR: APPLICATION OF THE CALGARY MODEL
Bibliographic record
Abstract
Objective: unveil the actions that maintain the functionality of the family of people with suicidal behavior. Method: this is a qualitative, descriptive-exploratory study, based on the theoretical and methodological framework of the Calgary Family Assessment Model. 11 users of the Suicide Study and Prevention Center, located in Salvador, Bahia, Brazil, participated in the online meeting in 2022 to construct the family genogram. In the second stage, the interview included nine user families. Results: the following categories emerged: surveillance by family members; family member’s use of technology for daily contact; management of the suicidal crisis by family members and family attention to basic needs, all categories related to a person with suicidal behavior. Conclusion: there are ways to implement health policies and manuals that guide family and friends in managing the suicidal crisis, thus avoiding undesirable consequences, such as the suicide attempt and the completed act.
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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 | 0.002 | 0.005 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.001 | 0.002 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| 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".