CREATING SAFE AND CARING LEARNING COMMUNITIES IN CANADA: TOGETHER WE LIGHT THE WAY
Bibliographic record
Abstract
Abstract: Together We Light the Way is a comprehensive school-based model that aims to prevent anti-social behaviours. Its overall objective is to create safe and caring learning communities by encouraging municipal officials, business leaders and members of community groups to work in partnership with school staff, students and parents. This paper describes the sociological underpinnings of the model, and its objectives and framework. It also presents an evaluation of the model, which was implemented in four pilot schools. Background Defining the problem Studies by James Coleman (1966) and others have revealed that the socio-economic status (SES) of families explains more than half of the variation in student achievement across schools (Rutter et al., 1979). Socio-economic status is highly related to other student-related effects such as violence, school drop-out, entry to post-secondary education, and adult employment and income levels (Dill and Haberman, 1995; Englert, 1993). Schools serving low SES families often find themselves in an “iron circle ” that begins with the family’s economic conditions, which may be a consequence of unemployment,
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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 | 0.002 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.030 | 0.006 |
| Scholarly communication | 0.005 | 0.002 |
| Open science | 0.002 | 0.007 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.006 | 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".