Systemic perspective of violence and aggression in mental health care: Towards a more comprehensive understanding and conceptualization: Part 2
Bibliographic record
Abstract
This is the second of a two part paper which seeks to explore a wide range of phenomena that have been found to have an association with aggression and violence (A/V) in inpatient mental health care, synthesize these propositions according to fit or congruence into a systemic model of A/V, explore the empirical evidence pertaining to these propositions, and begin to consider application of this model to better inform our individual and/or organizational responses to A/V in mental health care. The systemic model is comprised of four thematic categories with part two of the paper focusing on the final two categories: mental health-care system-related phenomena and clinician-related phenomena. The paper then discusses a number of implications arising out of embracing a more systemic model of A/V in mental health care. In broadening our understanding to include all the phenomena that contribute increased risk of A/V incidents, we are able to move away from inaccurate views that disproportionately assign 'responsibility' to clients for causing A/V when the evidence indicates that the client-related phenomena may only account for a small portion of these incidents.
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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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.002 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| 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".