THE EXPERIENCES OF IMMIGRANT TEACHERS IN SOUTHWESTERN ONTARIO
Bibliographic record
Abstract
Drawing upon the work of such anti-racist educators as Dei (1996) and Solomon (2004), this thesis investigates the experiences of immigrant teachers from the Caribbean in less culturally diverse, smaller city in southwestern Ontario. Using the case study method, the researcher interviewed three teachers and found that these educators reported one major difference in experience from those of their urban counterparts in such larger areas as Toronto. The immigrant teachers described a greater sense of collegiality with other staff members, a greater feeling of belonging with the broader community. However, as with other immigrant teachers from larger centers, they also cited prejudice and discriminatory practices in the classroom. Even though the teachers interviewed were from the English- speaking Caribbean, they identified communication barriers as a major obstacle in gaining employment and in imparting information in the classroom. Just as their urban partners did, these teachers assimilated to the culture of the school in which they taught as a survival mechanism. Perhaps because they did not feel their opinions were of equal consequence, these teachers did not become involved in the decision making processes of their schools. Overall, however, these instructors described positive experiences of teaching in smaller centers. Thus, this study’s findings differ from those obtained by Bascia (1996) and Phillion (2003), both of whom reported that immigrant teachers in urban areas face significant obstacles.
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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 | 0.001 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.025 | 0.005 |
| Scholarly communication | 0.003 | 0.001 |
| Open science | 0.001 | 0.004 |
| 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".