Structuring Reality So That the Law Will Follow: British Columbia Teachers' Quest for Collective Bargaining Rights
Bibliographic record
Abstract
The British Columbia Teachers' Federation (BCTF), representing all public elementary and secondary school teachers in the province, is one of the largest and most powerful unions in British Columbia. BCTF has always sought formal rights to full-scope collective bargaining, and unrestricted access to striking at the school board level. It has employed a sustained, sophisticated series of strategies to achieve these objectives, quickly adapting to changing political and legal environments. The BCTF has had significant success in advancing its labour relations agenda, establishing a different trajectory for teachers than for most public sector workers in Canada. This article maps BCTF's labour relations strategies and agenda against the backdrop of the political and legal environments, from BCTF's inception to present-day. It argues that, as a result of these factors, BC teachers have experienced a different labour relations history than most public sector workers. Drawing on and adapting Rose's (2004) eras of public sector labour relations, this article identifies the following eras of BC teacher labour relations: an era of exclusion (to 1982), resistance and revitalization (1982-86), expansion (1987-93), reform (1994), reprieve (1994-2001), restraint and consolidation (2002-2007), and reaching an era of realignment beginning in 2007.
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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 | 0.004 | 0.008 |
| Meta-epidemiology (narrow) | 0.000 | 0.001 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.053 | 0.032 |
| Scholarly communication | 0.018 | 0.004 |
| Open science | 0.002 | 0.006 |
| Research integrity | 0.004 | 0.009 |
| Insufficient payload (model declined to judge) | 0.007 | 0.001 |
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".