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Record W2061914519 · doi:10.1080/14927713.2012.724959

Les tâches professionnelles et la satisfaction au travail des intervenants en loisir œuvrant en milieu institutionnel québécois

2012· article· fr· W2061914519 on OpenAlexaffvenueabout
Hubert Roussel, Pierre Ouellette, Jerome F. Singleton, Anne-Louise Hallé

Bibliographic record

VenueLeisure/Loisir · 2012
Typearticle
Languagefr
FieldPsychology
TopicRecreation, Leisure, Wilderness Management
Canadian institutionsDalhousie UniversityUniversité de Moncton
Fundersnot available
KeywordsRecreationPsychologyJob satisfactionMedical educationWork (physics)NursingApplied psychologyGerontologySocial psychologyMedicinePolitical science

Abstract

fetched live from OpenAlex

This study examined the job duties and job satisfaction of stakeholders working in the 350 leisure facilities affiliated with the Fédération québécoise du loisir en institution. The sample included 159 respondents including recreational therapists, community recreation technicians, or special education technicians. The average age was 42 years and 77% of respondents were women. Factor analysis of the tasks identified four factors: (1) administration, (2) therapy, (3) animation, and (4) development. Factor analysis performed on the simplified version of the Minnesota Satisfaction Questionnaire confirmed the extrinsic or intrinsic dimensions generally attached to this measurement instrument. In addition, a canonical analysis was conducted to determine the relationship between the categories of professional tasks, job satisfaction, and certain demographic variables. The results indicate that the stakeholders engaged more in recreational therapy, administration, development, and less in animation-related tasks were recreational therapists, with higher wages, and higher expressed extrinsic satisfaction. In addition, stakeholders doing fewer administrative and animation-related tasks and more therapeutic tasks did not work in a care facility and showed less intrinsic satisfaction. This study points to several practical implications for professional associations, training program managers, and researchers wishing to better understand the professional reality of stakeholders in therapeutic recreation.

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 categoriesMeta-epidemiology (narrow), Research integrity, Insufficient payload (model declined to judge)
Consensus categoriesInsufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.276
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0040.000
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0010.001
Science and technology studies0.0010.001
Scholarly communication0.0000.002
Open science0.0010.000
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0020.002

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 head0.042
GPT teacher head0.347
Teacher spread0.305 · 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; both teacher heads agree on what is shown here.

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

Citations2
Published2012
Admission routes3
Has abstractyes

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