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Record W4385480728 · doi:10.1080/14927713.2023.2242865

Therapeutic recreation as a pathway to support mental health in Northern Canada: practitioners perspectives

2023· article· en· W4385480728 on OpenAlexafffundvenueabout
Lauren Ray, Tristan Hopper, Tara-Leigh McHugh

Bibliographic record

VenueLeisure/Loisir · 2023
Typearticle
Languageen
FieldPsychology
TopicRecreation, Leisure, Wilderness Management
Canadian institutionsUniversity of ReginaUniversity of Alberta
FundersMitacs
KeywordsRecreationMental healthHumanitiesPsychologyPolitical sciencePsychiatryArt

Abstract

fetched live from OpenAlex

Residing in northern Canada presents unique contextual factors that can implicate one’s experience and management of their mental health. Scant evidence exists pertaining to the role of clinical therapeutic recreation services in northern Canada, specifically in supporting mental health. The purpose of this study was to explore the role of therapeutic recreation in supporting mental health in northern Canada, specifically in Yukon Territory. Seven Certified Therapeutic Recreation Specialists participated in one-on-one semi-structured interviews, and data were analyzed using a process of content analysis. Findings are represented by four themes: (a) creating pathways to coping, (b) creating pathways to meaning, (c) creating pathways to connection and, (d) practicing therapeutic recreation in Yukon Territory: contextual considerations. Findings contribute to the understanding of how the therapeutic recreation profession can support mental health in Yukon Territory and can be extended to future practice across northern Canada and other similar contexts.

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)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Insufficient 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 score0.462
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.001

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.

Opus teacher head0.029
GPT teacher head0.331
Teacher spread0.302 · 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

Citations0
Published2023
Admission routes4
Has abstractyes

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