Systemic perspective of violence and aggression in mental health care: Towards a more comprehensive understanding and conceptualization: Part 1
Bibliographic record
Abstract
Aggression and violence (A/V) in mental health care are all too frequent occurrences; they produce a wide range of deleterious impacts on the individual client, staff, organizations, and the broader community. A/V is a multifaceted and highly-complex problem, and is associated empirically with a wide range of phenomena. However, most attempts to reduce A/V in mental health care have invariably focused on one or two aspects of the problem at the expense of a more comprehensive, systemic approach; these have produced inconclusive results. As a result, this two-part paper seeks to: (i) recognize the wide range of phenomena that have been found to have an association with A/V in mental health care; (ii) synthesize these propositions according to fit or congruence into a systemic model of A/V; (iii) explore empirical evidence pertaining to these propositions; and (iv) begin to consider the application of this model to better inform our individual and/or organizational responses to A/V in mental health care. The paper advances a systemic model of these phenomena comprised of four thematic categories, with Part 1 of this paper focusing on the first two categories: environmental and intrapersonal (client-related) phenomena.
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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 | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 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 | 0.000 |
| 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".