Ecospirituality in Forensic Mental Health: A Preliminary Outcome Study
Bibliographic record
Abstract
Background: In this study, the personal experience of spirituality in nature (the concept of ecospirituality) was supported by occupational therapy and spiritual care staff enabling a community-based group for persons affiliated with a forensic mental health system in Ontario, Canada. Spirituality is a key, though debated, tenet in occupational therapy practice. At the same time, immersive participation in nature has been linked to positive health outcomes. Methods: A qualitative method consistent with Interpretative Phenomenological Analysis was employed. Data was collected via the completion of semi-structured interviews (n = 9). Collected data was transcribed verbatim and then coded for themes by multiple coders. Several methods were employed to support trustworthiness. Results: Results identified that participation in the ecospirituality group enabled the participants to feel an enhanced connection with nature and an opportunity for unguarded reflection and relaxation. The participants described a regenerative and restorative experience, including a sense of peace and connection with the personally sacred. Enhanced resiliency and meaningful connection with others also were identified. Conclusion: Recommendations related to outcomes are identified. These include a focus on enhanced access to natural environments for individuals involved in mental health systems. Just as importantly, the opportunity for personal agency and autonomy in those settings appears indicated.
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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 | 0.009 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.003 | 0.002 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.004 | 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".