Re-imagining leisure education with Canadian hope: will the caravan of American individualism keep rolling?
Bibliographic record
Abstract
Leisure education needs to move beyond an American individualistic model focused on changing or fixing individuals and can be used to change ecological factors and be used in a system-directed and social policy perspective, such as addressing social problems facing Canadian families and communities. Individualistic development models of leisure education are often associated with a person-centred approach – which is when an individual person is placed at the centre of a program or intervention and human services workers look to the person to identify and express leisure needs, interests, goals and strategies to meet goals. In contrast, an ecological approach to change, also known as system-directed change, occurs when strategies are put forth in order to improve communities or other environmental factors in providing human services. Leisure education approaches, linked to Canadian society, are outlined in order to showcase system-directed and social policy-based leisure education.
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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 | 0.006 | 0.004 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.028 | 0.051 |
| Scholarly communication | 0.015 | 0.008 |
| Open science | 0.002 | 0.007 |
| Research integrity | 0.003 | 0.011 |
| Insufficient payload (model declined to judge) | 0.008 | 0.001 |
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.
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".