Discourses of Teacher Professionalism: A Study of Union-active Teachers
Bibliographic record
Abstract
This study presents a qualitative cross-case analysis of the discourses of teacher professionalism amongst union active teachers in the Canadian provinces of Alberta and Ontario. Data collection included interviews with 11 members of the Elementary Teachers’ Federation of Ontario and 13 members from the Alberta Teachers’ Association, which were grounded in a document analysis of various reports, member magazines, news articles, and press releases dating back to the 1990s. The study reveals a triad of influences on the professionalism discourses of union-active teachers: engagement in teacher associations, the larger policy environment, and teacher agency. More specifically, participants’ inner drive to affect change, coupled with the capacity building experiences gained through their teacher association, saw many participants enacting and espousing discourses that positioned teachers as learners, leaders, advocates, and autonomous experts. That being said, member discourses were also impacted by the organizational priorities of their teacher associations and the extent to which the associations had been able to sway discourses within the larger policy environment to be supportive of teachers. These discursive influences are not static, however, nor are they mutually exclusive. Rather, a complex, mutually reinforcing relationship exists between these elements that change over time as teachers, their unions, and governments respond to each other in new and evolving ways. This results in discourses of teacher professionalism “from within” and “from without” that are more akin to two sides of the same coin than they are to the juxtaposed manner which they are often conceived of. In this way the study illustrates the power of teachers and their unions to alter the balance between democratic discourses which position teachers as advocates, agents, and policy actors; and neoliberal portrayals of teachers as the objects of educational reform.
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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 | 0.011 | 0.020 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.004 | 0.005 |
| Science and technology studies | 0.040 | 0.032 |
| Scholarly communication | 0.012 | 0.006 |
| Open science | 0.004 | 0.009 |
| Research integrity | 0.003 | 0.004 |
| 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".