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Record W4206066845 · doi:10.15453/2168-6408.1708

Ecospirituality in Forensic Mental Health: A Preliminary Outcome Study

2022· article· en· W4206066845 on OpenAlexaffabout
Clark Patrick Heard, Jared Scott, Stephen Yeo

Bibliographic record

VenueThe Open Journal of Occupational Therapy · 2022
Typearticle
Languageen
FieldEnvironmental Science
TopicUrban Green Space and Health
Canadian institutionsWilfrid Laurier UniversityWestern University
Fundersnot available
KeywordsSpiritualityOccupational therapyMental healthPsychologyOccupational scienceHealth careMental health careMedicineNursingPsychiatryAlternative medicinePolitical science

Abstract

fetched live from OpenAlex

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.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame distilled prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.004
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.011
Threshold uncertainty score0.998

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0040.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0030.000

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.

Opus teacher head0.177
GPT teacher head0.424
Teacher spread0.247 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

Study designObservational
Domainnot available
GenreEmpirical

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".

Quick stats

Citations5
Published2022
Admission routes2
Has abstractyes

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