CHANGING VISIONS OF EXCELLENCE IN ONTARIO SCHOOL POLICY: THE CASES OF <i>LIVING AND LEARNING</i> AND <i>FOR THE LOVE OF LEARNING</i>
Bibliographic record
Abstract
In this essay, Rosa Bruno‐Jofré and George Hills examine two major Ontario policy documents: 1968's Living and Learning and 1994's For the Love of Learning. The purpose is, first, to gain insight into the uses of the term “excellence” in the context of discourse about educational aims and evaluation, and, second, to explore how these uses may have changed over time. Bruno‐Jofré and Hills employ the conceptual framework developed by Madhu Prakash and Leonard Waks to elucidate the varied notions of excellence contained in the two reports. Bruno‐Jofré and Hills argue that Living and Learning is an eclectic report that creates continuity by aligning itself with the pedagogically progressive tradition in Ontario; that propounds a holistic conception of excellence centered on the all‐around development of the self; and that seeks simultaneously to secure a sense of being Canadian while dealing with rapidly emerging social fragmentation. For the Love of Learning, in contrast, attempts to combine a technical view of excellence in education (stressing various literacies and skills as measurable indicators) with the principles of caring and the goals of social responsibility. Each report can be seen as an attempt to respond to the expectations of a population that had become increasingly diverse in the interval between the two reports. What is cause for concern in terms of policymaking, Bruno‐Jofré and Hills conclude, is the turn away from broader, more comprehensive and coherent views of excellence in education toward narrower and more fragmented accounts that are preoccupied with various types of literacy or loosely related vocational and other skills. The effect of this shift is to leave educational policy and practice in the schools essentially rudderless.
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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 | 0.035 |
| Meta-epidemiology (narrow) | 0.000 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.004 |
| Science and technology studies | 0.064 | 0.073 |
| Scholarly communication | 0.024 | 0.010 |
| Open science | 0.004 | 0.011 |
| Research integrity | 0.015 | 0.011 |
| 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".