Psychologists’ Experiences Conducting Suicide Risk Assessments: A Phenomenological Study
Bibliographic record
Abstract
Psychologists conduct suicide risk assessments (SRAs) regularly to identify and prevent clients’ self-harm and risk of death, although little is known about their experiences of the process. In this phenomenological study, five registered psychologists (master’s and doctoral level) were interviewed to explore the essence of their SRA experiences. Psychologists reported weaving tenets of assessment and therapy throughout their SRAs, relying on their clinical intuition, and investing deeply in their suicidal clients. Also, psychologists reported feeling significant anxiety working with suicidal clients, revealing the ways in which the fear of client suicide guides and motivates their SRA practices. While they have an empathic view of suicide, they believe in preventative intervention. They reported feeling pressure from clients and colleagues to conduct ethical and useful SRAs despite receiving what they consider to be insufficient and ineffectual graduate SRA training. Results from this study offer a qualitative foundation for future research on the ethics, training, and practice of SRA.
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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 | 0.009 | 0.020 |
| Meta-epidemiology (narrow) | 0.000 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.013 | 0.009 |
| Scholarly communication | 0.006 | 0.003 |
| Open science | 0.002 | 0.007 |
| Research integrity | 0.002 | 0.005 |
| Insufficient payload (model declined to judge) | 0.002 | 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".