1,2,3 GO !
Bibliographic record
Abstract
Les relations entre les conditions de pauvreté et la qualité du développement des enfants sont désormais connues ; la nécessité d'intervenir tôt et de façon intensive également. L'initiative communautaire 1,2,3 GO ! (visant l'empowermentdes communautés et de leurs membres) s'appuie sur un modèle d'organisation hiérarchique du développement de l'enfant et sur le modèle écologique-transactionnel. Elle a trois buts complémentaires : promouvoir le développement physique, cognitif, social et affectif des tout-petits ; assurer le soutien aux parents et aux intervenants ; soutenir les efforts de prise en charge de la communauté pour offrir aux parents et aux tout-petits un environnement stimulant, bienveillant et chaleureux. Cet article vise à faire connaître l'initiative 1,2,3 GO !. Il décrit le processus de sa mise sur pied, présente ses fondements théoriques et débouche sur la description d'exemples concrets d'activités réalisées auprès des enfants et des familles depuis sa mise sur pied.
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 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.002 | 0.002 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.000 | 0.002 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.013 | 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".