Educational administration in Toronto : a description : in part fulfilment of the requirements for the degree of Master of Educational Administration, Massey University, Palmerston North, New Zealand
Bibliographic record
Abstract
This paper is an attempt to describe the administration of secondary education in Toronto. As New Zealand is making a dramatic change in the administration of its education system, it could be useful for New Zealand teachers and administrators, struggling to interpret, and reconcile, the intentions of the government, the demands of lobby groups and the instructions of boards of trustees, to take a brief look at another system. The major change in Tomorrow's Schools from the system that predated it, is the locus of control. The degree to which control, over a significant number of facets of the education delivered in the classrooms has shifted, is remarkable in itsetf, but the fact that the shift occurs in a single event, makes it more so. In the past, New Zealand has been cautious and conservative in its approach to educational change. It had not embraced the progressive decentralisation of many aspects of educational administration seen in Australia, Canada, United States and Britain over the last twenty years. Then in one act, New Zealand has created what could be described as one of the most decentralised systems of school management of all of these countries.
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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 | 0.003 | 0.004 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.006 | 0.004 |
| Scholarly communication | 0.007 | 0.001 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.002 | 0.003 |
| Insufficient payload (model declined to judge) | 0.183 | 0.068 |
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".