Comment développer l'estime de soi de nos enfants : guide pratique à l'intention des parents d'enfants de 6 à 12 ans
Bibliographic record
Abstract
Montreal, le 25 aout 2015. Entre l'âge de 6 et 12 ans, l'enfant franchit une etape significative dans le developpement de son estime de soi : son image intellectuelle se greffe a l'image physique et emotive qu'il a de lui-meme. Il developpe ses capacites a reflechir, a porter des jugements pratiques, a saisir les regles des jeux et a cooperer. Comment developper l'estime de soi de nos enfants propose une demarche interactive et concrete pour accompagner l'enfant qui apprend a se definir. Cette demarche permet aux parents de mieux connaitre leur enfant, de reconnaitre ses forces et ses qualites, de le traiter avec consideration et respect, de lui faire vivre des succes et de l'integrer dans la famille, le groupe et la societe. Offert dans une toute nouvelle presentation, mais toujours avec de nombreux exercices et questionnaires d'evaluation, il encourage la reflexion et l'adoption de certaines attitudes et comportements.
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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 | 0.003 | 0.006 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.002 | 0.002 |
| Scholarly communication | 0.002 | 0.002 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.011 | 0.004 |
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".