A Critical Analysis of Debates Around Mental Health Calls in the Prehospital Setting
Bibliographic record
Abstract
Paramedics, health care workers who assess and manage health concerns in the prehospital setting, are increasingly providing psychosocial care in response to a rise in mental health call volume. Observers have construed this fact as "misuse" of paramedic services, and proposed as solutions better triaging of patients, better mental health training of paramedics, and a greater number of community mental health services. In this commentary, we argue that despite the ostensibly well-intentioned nature of these solutions, they shift attention and accountability away from relevant public policies, as well as from broader economic, social, and political determinants of mental health, while placing responsibility on those requiring services or, at best, on the health care system. We also argue that the perspective of paramedics, who are exposed to, and interact with, individuals in their everyday environments, has the potential to inform a better, structural and critical, understanding of the factors driving the rise in psychosocial crises in the first place. Finally, we suggest that a greater engagement with the political and social determinants of mental health would lead to preventing, rather than primarily reacting to, these crises after the fact.
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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 | 0.002 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 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".