Occupation in Natural Environments; Health Equity and Environmental Justice
Bibliographic record
Abstract
Background . Occupations undertaken in natural environments can positively impact physical and mental health, improve cognitive functioning, contribute spiritual and cultural benefits, and increase belonging, self-worth, and the meaningfulness of occupations. However, occupational opportunities in healthy natural spaces are inequitably distributed; and the deleterious effects of climate change and environmental degradation are borne disproportionately by socioeconomically disadvantaged people. Purposes . To highlight evidence that occupational engagement in nature is a determinant of health, foreground environmental injustices and identify some implications for occupational therapy. Key issues . Cross-disciplinary, cross-cultural research and critical environmental justice scholarship indicate that healthy nature is an inequitably distributed determinant of occupation, wellbeing, and human health. This merits critical attention from occupational therapy. Implications . By researching, identifying, and addressing occupational and health inequities arising from environmental degradation, climate change and inequitable access to health-promoting natural environments occupational therapists could contribute valuable, occupational perspectives to initiatives addressing human rights and environmental justice.
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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 | 0.004 | 0.010 |
| Scholarly communication | 0.003 | 0.002 |
| Open science | 0.001 | 0.005 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.007 | 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".