Bibliographic record
Abstract
This study examines whether new private schools are innovative, drawing on theories of markets and institutions. Choice advocates claim that markets spark innovation, while institutional theory suggests that isomorphic forces will limit novel school forms. Using qualitative data from third sector private schools in Toronto, three hypotheses about the impact of markets on educa-tional organizations are examined: (a) they reverse tendencies toward iso-morphism as schools develop client niches; (b) they allow schools to weaken their formal structures; and (c) they force schools to more closely monitor their effectiveness. Substantial evidence exists for the first hypothesis, partial evidence for the second hypothesis, but little evidence for the third. Overall, new private schools are characterized by: small classes, unique pedagogical themes, personalized treatment of clients, and some pragmatic responses to limited resources. Their operators sometimes feel restricted by parental demand, but are able to retain a loosely coupled structure by embracing con-sumerist understandings of accountability. This essay concludes with a dis-cussion of implications for market theory.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.003 | 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; both teacher heads agree on what is shown here.
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".