The Benefits and Economic Value of Community Recreation: Proposal for an Analytical Framework Based on an Exploratory Study
Bibliographic record
Abstract
ABSTRACT This article presents the results of an exploratory study on the impacts of a program provided by a community recreation centre. The study proposes an analytical framework to assess the impacts of recreation on young people and refers to product and impact concepts developed by Marée (2005). The proposed framework includes dimensions that are sufficiently precise to grasp the impacts of community recreation centres (benefits, savings, impacts on individuals, life settings, and society), yet also sufficiently broad to allow for the evaluation of the impacts of other social endeavours. RÉSUMÉ Cet article présente les résultats d'une recherche exploratoire qui étudie les effets d'un programme d'un centre communautaire de loisir. La recherche propose un cadre d'analyse des impacts du loisir chez les jeunes qui prend appui sur les concepts de produits et d'impacts développés par Marée (2005). Le cadre d'analyse proposé comporte des dimensions suffisamment précises pour appréhender les impacts des centres communautaires de loisir (bénéfices et économies pour les individus, les milieux de vie et la société), mais il est aussi suffisamment large pour évaluer les impacts d'autres entreprises à vocation sociale.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot 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.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.014 | 0.017 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.009 | 0.005 |
| Science and technology studies | 0.003 | 0.017 |
| Scholarly communication | 0.008 | 0.007 |
| Open science | 0.002 | 0.005 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.005 | 0.000 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".