Bibliographic record
Abstract
Les parcs et loisirs peuvent contribuer a aider les gens a devenir plus actifs physiquement et donc, plus sains. Amener la population a etre active et preoccupee par la crise au niveau de la sante (notamment concernant le phenomene d'obesite) en Amerique du Nord sont d'importantes contributions que les loisirs publics, les parcs, les sports et les organisations peuvent offrir. Les parcs et les espaces ouverts dans les villes peuvent etre des lieux publics qui offrent un territoire equitable et democratique afin de promouvoir l'activite physique. Bien que les possibilites de loisirs au Canada et aux Etats-Unis aient ete commercialisees et mises a disposition par le secteur prive, les parcs publics et les programmes de loisirs sont un « bien public ». La valeur des parcs et des loisirs dependra, dans l'avenir, de l'articulation et de la documentation faites des avantages d'un mode de vie actif et sain pour tous les residents de la communaute: « cela commence dans les parcs ».
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 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 | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.002 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.001 | 0.000 |
| Insufficient payload (model declined to judge) | 0.011 | 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".