Enquête canadienne sur l'apprentissage et la garde des jeunes enfants : fichier de microdonnées à grande diffusion
Bibliographic record
Abstract
Ce fichier de microdonnées à grande diffusion (FMGD) renferme des données non agrégées associées à une vaste gamme de variables recueillies dans le cadre de l’Enquête canadienne sur l'apprentissage et la garde des jeunes enfants (ECAGJE). ECAGJE examine les modes de garde au Canada pour les enfants de moins de six ans et porte sur les différents modes de garde des jeunes enfants auxquels ont recours les familles, les difficultés auxquelles certaines familles peuvent être confrontées lorsqu'elles cherchent des services de garde, ainsi que les raisons pour lesquelles certaines familles n'utilisent pas ces services. L'enquête permet aussi de recueillir des renseignements sur la participation au marché du travail des parents et des tuteurs afin de mieux comprendre les interactions entre le travail et l'utilisation des modes de garde des jeunes enfants.
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 | 0.004 | 0.031 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.002 |
| Bibliometrics | 0.007 | 0.015 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.003 | 0.001 |
| Open science | 0.002 | 0.002 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.018 | 0.006 |
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".