La inserción profesional como experiencia subjetiva:: el caso los profesores noveles en Quebec
Bibliographic record
Abstract
This paper proposes to study the professional incorporation of novice teachers from a socio-interactionist perspective of the teaching work, using a phenomenological-pragmatist vision, applied to the study of this stage of professional life. Based on the above, we try to answer the following questions: What is the perception of novice teachers regarding their working conditions? How do they live the professional experience during the first years of their career? Can we identify elements that facilitate or impede the professional incorporation during this early phase of professional life? To answer these questions, we have studied the case of novice teachers who practice in various schools in Quebec, Canada, through semi-directed interviews (n=46), analyzed by thematic categorization. The results reveal that the working conditions are very different and that they are linked to the contractual situations of the novice teachers, the material means for exercising the profession and the organization of the various establishments. Teachers experience these objective elements in different ways: positive experience (easy integration), negative experience (lack of accompaniment) and mixed experience (relativization of experience). Finally, we were able to identify transversal elements that facilitate or impede the professional incorporation (professional community, contractual conditions, students’ involvement).
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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 | 0.005 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.015 | 0.010 |
| Scholarly communication | 0.004 | 0.001 |
| Open science | 0.001 | 0.002 |
| 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".