Exploring The Lived Experience Of Former Special Educators In The Greater Toronto Area And Their Perceptions Of Work Conditions In The Special Education Classroom
Bibliographic record
Abstract
The purpose of this qualitative interpretive phenomenological analysis was (a) to explore the lived experiences of public Kindergarten–Grade 8 (K–8) special educators in the Greater Toronto Area (GTA) who left the field of special education and (b) to understand challenges caused by their work conditions. The research questions were (a) “How do former public K–8 special educators in the GTA describe their lived experience within their special education classroom and the role of work their conditions in their decision to leave the field?” (b) “How do former public K–8 special educators in the GTA in the field of special education describe the role of pedagogical practices of planning and instruction in their decision to leave the field?” and (c) “How do prior public K–8 special educators in the GTA describe their perception of supports and barriers in their decision leave the field?” The affective event theory was the theoretical framework and personal interest with a succinct review of research provided the conceptual framework. Semistructured one-on-one interviews gathered data from eight participants. The emergent themes included (a) misalignment of preparation and the classroom experience of special educators, (b) complexities of role pressures as perceived by special educators, (c) contextual factors influencing pedagogical practice, and (d) emotional depletion as understood by special educators. The findings included role pressures in the work conditions of a special education classroom are because of unpreparedness, workload, and isolation. A lack of direction and resources, in addition to inadequate preparation training emphasized a disconnect between policy and practice.
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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 | 0.006 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.013 | 0.015 |
| Scholarly communication | 0.005 | 0.002 |
| Open science | 0.002 | 0.006 |
| Research integrity | 0.001 | 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".