Facteurs susceptibles d’influencer le bien-être des familles d’enfants d’âge préscolaire et scolaire en milieu rural
Bibliographic record
Abstract
Des intervenants et des gestionnaires issus de différents milieux se sont associés à des chercheurs dans une recherche-action auprès d’informateurs clés. Cette recherche exploratoire visait à combler le manque de données pouvant aider à comprendre le vécu des familles d’enfants d’âge préscolaire et scolaire en milieu rural. En particulier, on voulait préciser les caractéristiques des municipalités d’un territoire rural favorables ou non favorables au bien-être des familles. On a ainsi rencontré 42 informateurs clés en entrevues semi-dirigées. Les résultats montrent des facteurs : 1) propres aux milieux, qualifiés de plus ou moins ruraux en fonction de la densité de population, et 2) propres aux familles selon leur degré d’enracinement dans leur milieu. Ces résultats sont discutés en termes de profils familiaux et de pauvreté.
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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 | 0.005 | 0.027 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.003 | 0.003 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.007 | 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".