Forest-Based Health Practices: Social Representations of Nature and Favorable Environmental Characteristics
Bibliographic record
Abstract
Forest frequentation is associated with benefits for human health, warranting the importance of forest-based health practices. These practices can be classified into four categories: connection with nature (e.g., Shinrin-Yoku, yoga, and meditation); sports, outdoor, and adventure activities; Indigenous health practices on the land; and professional consultations in a natural environment. The aim of this research was to better understand the social representations of the forest supporting these practices and the environmental characteristics that are favorable to them, as well as to examine the effects of these practices on the forests. We interviewed 28 forest-based health practitioners in Quebec and conducted four participant observation activities. Data analysis led us to five forest representations: an entity in its own self, an unfamiliar area, a place of attachment, a land at the heart of Indigenous cultures, and a tool to improve health. The results showed that favorable environmental characteristics varied according to the type of health practice. The presence of water (e.g., drinking water, lakes, and rivers) is favorable to all forest-based health practices and access to nature seems to be an issue for many practitioners. We also found that forest-based health practices were leaving traces in the forest and attempting to redefine the place of humans in nature.
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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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 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".