TOWARDS A N INTEGRATION OF SCHOOL,
Bibliographic record
Abstract
ABSTRACT: This paper describes how a public health nurse established a baby clinic in an elementary school and the effects it had on family, school, and community life. It will be shown how the nurse responded to the lack of community facilities for young mothers by encouraging the mothers to develop their own program, how the 6th and 7th graders became involved, and the role of the counsellor. It is hoped that in sharing such an experience others may be encouraged to devise and implement their own models. BACKGROUND Ideas for this programme emerged in February, 1970, while the nurse was located in the Renfrew district of East Vancouver. (This is a predominantly lower middle class area of mixed racial origins: Ita-lians, Greeks, Indians, Canadians, and Yugoslavs). Her time in the school was only two half days a week. In the course of her work she became concerned with many of the young mothers whom she saw *The writer thanks Miss Ann Gibson, PHN1 for asking him to participate
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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 | 0.004 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.009 | 0.005 |
| Scholarly communication | 0.009 | 0.006 |
| Open science | 0.002 | 0.013 |
| Research integrity | 0.002 | 0.004 |
| Insufficient payload (model declined to judge) | 0.020 | 0.003 |
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".