Intersectoral Mobilization in Child Development: An Outcome Assessment of the Survey of the School Readiness of Montreal Children
Bibliographic record
Abstract
In 2006, the department of public health in Montreal, Quebec, Canada, conducted the Survey of the School Readiness of Montreal Children. After unveiling the results in February 2008, it launched an appeal for intersectoral mobilization. This article documents the chain of events in the collective decision-making process that fostered ownership of the survey results and involvement in action. It also documents the impacts of those findings on intersectoral action and the organization of early childhood services four years later. The results show that the survey served as a catalyst for intersectoral action as reflected in the increased size and strength of the actor network and the formalization of the highly-anticipated collaboration between school and early childhood networks. Actors have made abundant use of survey results in planning and justifying the continuation of projects or implementation of new ones. A notable outcome, in all territories, has been the development of both transition-to-kindergarten tools and literacy activities. The portrait drawn by the research raises significant issues for public planning while serving as a reminder of the importance of intersectoral mobilization in providing support for multiple trajectories of child preschool development.
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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 | 0.009 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.003 | 0.005 |
| Science and technology studies | 0.003 | 0.002 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 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".