The People and the Policy: The Possibilities and Limitations of Current Supervisory Appraisal Practices for Experienced Secondary Teachers in Ontario
Bibliographic record
Abstract
Many Ontarians have lost faith in their teachers. In the court of public opinion, teachers are greedy, entitled, and highly fallible. Quality of teaching is questioned, and the belief that ineffective teachers are "protected" by their federations, persists. Raising the issue of teacher quality, and examining the Teacher Performance Appraisal (TPA) policy, at this time, has enormous implications. Are Ontarioâ s teachers held to the highest standards? Are there mechanisms and tools within the TPA policy that would promote authentic and sustained teacher development while at the same time offering provisions for the removal of those who do not demonstrate improvement? The purpose of this qualitative research study was to explore these questions and to examine perceptions of current supervisory appraisal practices of experienced secondary teachers in Ontario as held by teachers, administrators, and teacher labour union representatives. This study took a grounded theory approach and was propelled by a social constructivist interpretative framework. Three main sources of data were collected: document analysis, surveys, and interviews. All data were rigorously coded and analyzed, iteratively, in order to develop a comprehensive and rich narrative of the perceptions of the stakeholders in regards to the possibilities and limitations associated with current teacher evaluation practices in Ontario and the potential for authentic, lasting impact upon teaching practice. It is a central finding of this study that conflicting notions of teaching, and indeed in the expectations of the role teachers inhabit in education, create a tension within which clarity and consistency in implementation of the TPA process are casualties. Additional findings of this study are: (1) the TPA policy presupposes a particularly narrow view of teaching and teacher learning; (2) there are significant inconsistencies in implementation of the TPA process across the province; (3) problems in implementation are derived from the dueling objectives of the policy; and (4) for a large faction of study participants, the TPA process does not serve as a vehicle for teacher growth and development. Possibilities, however, within the current model of teacher performance appraisal in Ontario, are presented, as well as recommendations and directions for future inquiry.
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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 | 0.012 | 0.026 |
| Meta-epidemiology (narrow) | 0.000 | 0.001 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.019 | 0.015 |
| Scholarly communication | 0.009 | 0.002 |
| Open science | 0.002 | 0.004 |
| Research integrity | 0.001 | 0.002 |
| 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".