Therapeutic mountain hiking in psychiatric rehabilitation
Bibliographic record
Abstract
In recent years, there has been a major shift towards bringing nature-based interventions (green therapy) into the mainstream of activities improving the psychological well-being of the population. Various interventions generally based on practising mindfulness in nature and training in psychosocial skills are also increasingly integrated into psychiatric rehabilitation. In Poland, the most commonly used therapeutic intervention involving contact with nature has traditionally been horticultural therapy (also known as social and therapeutic horticulture). A variety of therapeutic methods with an established status in other European countries, for example mountain hiking, forest bathing/shinrin-yoku, wilderness therapy, outdoor therapy or adventure therapy, are not sufficiently well-known in Poland. A specific type of therapeutic intervention based on contact with nature is therapy in the mountain setting, which taps into the potential of interventions based on mindfulness, climate therapy, and occupational therapy. The paper outlines the principles of organisation, therapeutic factors, and conditions determining the effectiveness of therapeutic mountain hiking, also known as mountain therapy or psychosocial mountain therapy. In addition, the paper aims to provide an overview of the tasks facing the therapist/guide. Mountain therapy has a strictly defined therapeutic goal which is pursued in a specific mountain environment. It is important to highlight that the effectiveness of therapeutic methods and the plan of the mountain hike are supported by sufficiently strong empirical evidence. The authors propose their own therapy programme in a mountain environment, complete with the preconditions and consecutive stages of the therapeutic process. Multiple research-documented benefits of the mountain setting in psychiatric rehabilitation may convince specialists to incorporate this therapeutic modality more widely into their practice, especially in the context of restrictions related to the current epidemiological situation.
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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 | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.002 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 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".