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Record W2971661734 · doi:10.18666/trj-2019-v53-i3-9684

Does Culture Matter? An Exploratory Study of Culture in the Implementation of an Adaptive Sports Program

2019· article· en· W2971661734 on OpenAlexaff
Hannah Wells, Lauren N. Duffy, Maddie Nance, Lauren Fleming, Garrett A. Stone, Jasmine Townsend, Samantha L. Stevenson

Bibliographic record

VenueTherapeutic Recreation Journal · 2019
Typearticle
Languageen
FieldPsychology
TopicMotivation and Self-Concept in Sports
Canadian institutionsVancouver Island University
Fundersnot available
KeywordsRecreationPhysical cultureExploratory researchPsychologySociologyPolitical scienceMedicineSocial scienceAlternative medicine

Abstract

fetched live from OpenAlex

There is limited research surrounding the effectiveness of program implementation, and the research that does exist often considers culture as a minor contributing factor. In this study, culture is re-framed as a major contributing factor of program implementation using an international adaptive sports program as an example. The program was planned and implemented by a team of U.S. facilitators for a group of Thai students and professors in Thailand. The purpose of this study was to understand the cultural processes that influence program implementation in the context of adaptive sport. The research team conducted observations of the program delivery and semi-structured interviews with the U.S. program facilitators. Guided by Hofstede’s Cultural Dimensions, the findings consider how culture influenced program implementation. Building from existing program implementation models, this study proposes a modified model of program implementation in which culture is positioned as a factor influencing all aspects of program implementation.Subscribe to TRJ

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 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 score0.082
Threshold uncertainty score0.997

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0040.000

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 head0.035
GPT teacher head0.371
Teacher spread0.336 · 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

Citations6
Published2019
Admission routes1
Has abstractyes

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