EARLY CHILDHOOD LEARNING AND CARE: THE ROUTE TO MEETING THE MAJOR CHALLENGES
Bibliographic record
Abstract
Non-parental early child care “is now the norm for pre-school children in Canada,” writes Jane Jenson, a Canada Research Chair at the Universite de Montreal. “With the exception of Quebec, Canada is lagging far behind its peers” in OCED countries “in providing preschol education and other developmental services.” While over half of Canada’s preschoolers are now receiving non-parental care, three-quarters are in family daycare or babysitting rather than public daycare, again, except in Quebec. The provincial premiers, she adds, “were caught off guard by Stephen Harper’s promise, during the election campaign, to revive what are essentially family allowances, presenting them as an alternative to the federal transfers promised by the agreements-in-principle. F
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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 | 0.025 | 0.026 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.002 | 0.001 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.017 | 0.030 |
| Scholarly communication | 0.016 | 0.023 |
| Open science | 0.006 | 0.023 |
| Research integrity | 0.026 | 0.036 |
| Insufficient payload (model declined to judge) | 0.032 | 0.005 |
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".