Climate emergency, young people and mental health: time for justice and health professional action
Bibliographic record
Abstract
Climate change is driving a public mental health crisis that disproportionately, and unjustly, affects the world's young people. Despite the growing evidence for harm to the next generation, the medical community has largely been hesitant to take the next step and act on the evidence. We propose that the medical community has a responsibility to do more.Drawing from our interdisciplinary experience in paediatrics and psychiatry, we call for our profession to take the 'leap' beyond the walls of our clinics and laboratories, and take a courageous stance on the topic of climate change. We argue that the medical profession must adopt a broader conception of health and its determinants-or a 'social lens'-if it is to move beyond rhetoric to action.Viewing climate change as a clear determinant of mental health opens up potential avenues of action, both as individual clinicians and as a profession as a whole. We offer the beginnings of a framework for action in the context of climate change and youth mental health, before calling for our profession to re-examine its role - and its very purpose - to better address the climate crisis.
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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 | 0.005 | 0.013 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.002 | 0.002 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.001 | 0.003 |
| Scholarly communication | 0.004 | 0.007 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.005 | 0.008 |
| Insufficient payload (model declined to judge) | 0.005 | 0.001 |
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".