Climate anxiety in young people: a call to action
Bibliographic record
Abstract
Climate change poses a major threat to human health. Emerging studies are elucidating the physical health effects of climate change, such as increased rates of heat-related illnesses and infectious diseases and exacerbation of cardiopulmonary conditions;1 however, research is scarce on the psychological effects,2 particularly in young people (defined by WHO as individuals aged 10–24 years) and youth (15–24 years) who might be disproportionately affected. The climate crisis could precipitate new psychological conditions and worsen existing mental illnesses among young people experiencing climate anxiety, yet pervasive data gaps preclude our ability to act.
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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 | 0.019 | 0.059 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.006 | 0.005 |
| Bibliometrics | 0.003 | 0.002 |
| Science and technology studies | 0.010 | 0.009 |
| Scholarly communication | 0.012 | 0.022 |
| Open science | 0.006 | 0.017 |
| Research integrity | 0.028 | 0.049 |
| Insufficient payload (model declined to judge) | 0.030 | 0.009 |
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".