CAN SCHOOL BOARDS GOVERN? A CONCEPTUAL ANALYSIS OF THE MEANING OF GOVERNANCE IN RELATION TO ONTARIO PUBLIC SCHOOL BOARDS
Bibliographic record
Abstract
The purpose of this inquiry was to investigate the meaning of the concept governance in order to answer the central research question “can school boards govern?” While the importance of the governance of organizations is widely acknowledged in the literature, the governance of local school boards has seldom been a central focus of research. The duality of governing and being governed experienced by school boards is not characteristic of board governance in the private and nonprofit sectors and so made school boards an exceptional area of governance research.\nThe method of inquiry was to subject the central concept of governance to a conceptual analysis. The analysis drew from a spectrum o f normative and academic literatures, from governance in broad political and organizational contexts to board governance in private, public, and nonprofit organizations. It then focused on the evolution of school boards in Ontario with attention to shifts in how school board governance was understood including conflicts over power, authority, areas of competence, and responsibility for the public good.\nThree central themes emerged. First, that governance, although described and discussed in different contexts from a variety of critical perspectives, has a number of consistent and essential characteristics or features. These are power, authority, and fiduciality, and legitimacy, governance as political and oriented toward public good. Second, governance is subject to internal and external conditions, constraints, and circumstances. These internal and external influences are treated as contingent\nfeatures. Finally, board governance is a social practice. As such, the activities of\nboard members in the act of governing contribute to the outcomes of governance, both positive and negative.\nThe analysis provides a point of reference for understanding and discussing school boards as governing bodies. Essential and contingent governance features afford a language for school boards (and other governing boards) to assess their practice and facilitate reasoned conversation about roles, responsibilities, and ethical issues.\nThe inquiry concludes that school boards in Ontario can govern and identifies implications for the practice of school board governance.
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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 | 0.005 | 0.010 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.004 |
| Science and technology studies | 0.017 | 0.036 |
| Scholarly communication | 0.012 | 0.006 |
| Open science | 0.002 | 0.004 |
| Research integrity | 0.002 | 0.002 |
| Insufficient payload (model declined to judge) | 0.003 | 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".