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Record W4386402001 · doi:10.1080/14927713.2023.2252837

(Re)defining recreation: a call for reconciliatory action in therapeutic recreation practice

2023· article· en· W4386402001 on OpenAlexaffvenue
Britta Peterson

Bibliographic record

VenueLeisure/Loisir · 2023
Typearticle
Languageen
FieldPsychology
TopicRecreation, Leisure, Wilderness Management
Canadian institutionsUniversity of Ottawa
Fundersnot available
KeywordsPolitical scienceIndigenousRecreationHumanitiesEthnologySociologyLawArt

Abstract

fetched live from OpenAlex

Therapeutic recreation (TR) professionals have the potential to support meaningful change and the development of well-being in clients’ lives; however, there is a gap in the role TR has played or could play in and with Indigenous communities. Despite the Truth and Reconciliation Commission’s 2015 report and its associated Calls to Action, TR approaches typically fail to acknowledge Indigenous conceptualizations, definitions, and practices of leisure. This gap furthers exclusionary policies of colonialism, reinforces historically imbalanced power relationships, and it pathologizes Indigenous peoples’ well-being. In this paper, I make myself vulnerable by sharing personal experiences in practice as a cautionary tale to colleagues to challenge ongoing calls for cultural competence in therapeutic recreation practice and argue the need for acts of reconciliation to go beyond hollow acts of symbolism and to instead become transformative action.

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 machine prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.065
metaresearch head score (Gemma)0.037
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: none
GenreCandidate signal: Commentary · Consensus signal: Commentary
Teacher disagreement score0.065
Threshold uncertainty score0.344

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0650.037
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0020.002
Science and technology studies0.0190.130
Scholarly communication0.0290.027
Open science0.0050.032
Research integrity0.0140.034
Insufficient payload (model declined to judge)0.0040.001

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 head0.101
GPT teacher head0.394
Teacher spread0.294 · 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 source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designTheoretical or conceptual
Domainnot available
GenreCommentary

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

Citations8
Published2023
Admission routes2
Has abstractyes

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