Investigating Elementary Teachers' Perceptions About and Experiences with Ontario's Teacher Performance Appraisal System
Bibliographic record
Abstract
Performance appraisals have far reaching consequences on people. If evaluators in any way discriminate against employees, these individuals can suffer devastating and potentially debilitating consequences. This thesis investigates elementary teachers’ perceptions of and experiences with Ontario’s Teacher Performance Appraisal system (TPA), used to appraise teachers in Ontario from 2001 until 2007. I used quantitative data obtained from a sample of 132 teachers to investigate their perceptions of TPA with respect to four dimensions of organizational justice; outcome fairness, procedural fairness, informational fairness, and interpersonal fairness. Using oppression and critical theories as the theoretical framework, my analyses of my data allowed me to compare mainstream and minoritized teachers’ perceptions of their experiences with TPA. I also conducted follow-up interviews with three mainstream and three minoritized teachers. Analyses of my data enabled me to investigate how each group experienced TPA in terms of the four dimensions of organizational fairness. Analyses of the quantitative data revealed that minoritized teachers perceived their experiences less favourably than mainstream teachers. In addition, from my analyses of the qualitative data, I found that minoritized teachers tended to experience mistreatment, including manifestations of racism and homophobia from the administrators who conducted their TPA. The implications of this study call on administrators to disrupt the cycle of oppression by thinking about the biases, prejudices and stereotypical attitudes they bring intentionally or unintentionally to appraising teachers.
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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 | 0.001 | 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 | 0.002 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 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 teacher head, 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".