'It used to be about the kids': Nutrition Reform and the Montreal Protestant School Board
Bibliographic record
Abstract
The nutrition programs that developed in Montreal Protestant schools during the 1970s attest to a deepening awareness of child and adolescent welfare. The combination of grassroots activism and government support that brought about these initiatives took place in the context of post-Quiet Revolution Quebec, when Montrealers were grappling with the role that the newly activist state should play in social life. At the same time, school nutrition reform was part of a broader ongoing renegotiation of state responsibility. Both in Canada and the United States, governments were steadily assuming a mantle of responsibility for expanded liberal rights. Les programmes de nutrition développés par les écoles protestantes de Montréal dans les années 1970 attestent une conscientisation accrue à l'égard du bien-être des enfants et des adolescents. L'union entre activisme local et soutien gouvernemental qui rendit ces initiatives possibles s'est faite dans le contexte de l'après-Révolution tranquille au Québec, alors que les Montréalais peinaient à se résoudre au rôle que l'État désormais interventionniste jouerait dans la vie sociale. Simultanément, la réforme de la nutrition à l'école s'inscrivait dans une vaste renégociation continue des responsabilités étatiques. Tant au Canada qu'aux tats-Unis, les gouvernements assumaient des responsabilités toujours plus grandes dans la foulée du progrès des droits individuels.
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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 | 0.006 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.026 | 0.014 |
| Scholarly communication | 0.009 | 0.002 |
| Open science | 0.002 | 0.007 |
| Research integrity | 0.005 | 0.005 |
| Insufficient payload (model declined to judge) | 0.009 | 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".