Bibliographic record
Abstract
This thesis is based on interviews with seven Montreal based teachers who sojourned abroad and to teach English. The stories were collected based on a semistructured interview schedule. The study's objective was to (a) to examine the impact, if any, of their teaching abroad upon their professional and personal development and (b) to determine whether, upon their return to Quebec, Canada, they applied the lessons learnt to their teaching practice. All participants, whose age, educational background and length of work experience varied, described changes in their professional and personal development, similar to the examples identified by the research subjects in the literature review upon which this study was based. They are firmly convinced that their work abroad had a positive impact upon their teaching in Montreal and they were able to provide examples to support their claim. Furthermore, they maintained that direct teaching and living experience in other cultures and customs, especially for monolingual teachers, helped them appreciate the challenges that students from other cultural backgrounds face in their Montreal classrooms. Some teachers were inspired from their work abroad to pursue teaching on a full time basis. One teacher developed his own private business. Thus, in spite of the difficulties inherent to teaching abroad, the positive impact that such an experience can have on a teacher's ability to be self-critical and to evolve may provide benefits that go beyond simple personal growth, benefits that dramatically empower both the personal and professional development of many teachers
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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 | 0.002 | 0.005 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.008 | 0.007 |
| Scholarly communication | 0.005 | 0.002 |
| Open science | 0.001 | 0.004 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.004 | 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".