Psychiatry on fire: Climate change and the role of mental healthcare
Bibliographic record
Abstract
Introduction What is the psychiatrist’s role on a burning planet? As our world faces the existential ramifications of irreversible climate change, clinicians are contending with what purpose a normalizing institution like psychiatry can have in increasingly abnormal times. Objectives This presentation investigates the role of the modern mental health clinician by examining psychiatry’s current impotence in the face of climate crisis. It will be shown that current approaches are often complicit in psychiatry’s historical depoliticization of mental health and subsequent individualization of social concerns. It will be argued that the only way psychiatry can maintain its ethical obligations to its patients is by taking a courageous sociopolitical stance. Methods Emerging from a multidisciplinary literature review on the relationship between psychiatry and social crises, this work examines our field’s response to climate change in particular. A focus is made on literature that explores psychiatry’s political obligations, current trends in climate psychiatry, and proposed social psychiatric approaches to the climate crisis. Results It is shown that while ecological collapse tangibly affects our patients, psychiatry often fails to engage socio-politically with the crisis’ root causes. Framing intense reactions to climate change as trauma responses and developing neo-diagnoses such as “ecoanxiety” both risk individualizing inherently social experiences. However, Psychiatrists are also uniquely positioned to speak with authority about social crises and to articulate what a more comprehensive medical response to climate change might look like. Conclusions Given climate change’s disproportionate effects on disenfranchised populations, it is increasingly clear that health is inextricable from social circumstances. As a result, political inaction is incompatible with our ethical duty to serve patients’ health, both in the clinic and beyond it. Disclosure of Interest None Declared
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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 | 0.003 | 0.005 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.005 | 0.012 |
| Scholarly communication | 0.006 | 0.004 |
| Open science | 0.001 | 0.005 |
| Research integrity | 0.004 | 0.008 |
| Insufficient payload (model declined to judge) | 0.008 | 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".