Bibliographic record
Abstract
Canadian academic libraries are unionized environments, requiring collective organization and action to address labour conditions and contract negotiations. The University of Manitoba Faculty Association (UMFA) has 1264 members, including 52 archivists and librarians, and in 2021 resolved the longest strike in association history. The newly ratified agreement contained major gains to advance pay equity within the union, and the strike itself maintained UMFA historic high levels of participation and member engagement, in part due to the significant contributions of librarians and archivists. In this paper, three librarians who held distinct positions of leadership within UMFA, particularly during its 2021 strike, examine the unique strengths and difficulties of librarians and archivists working within a broader faculty union to make change. Relying on core competencies of librarianship, such as collaboration, consultation, communication, and leadership, the authors collectively and successfully filled central roles in the strategic direction, organizational foundation, and on-the-ground mobilization of the strike effort. The historical context for the labour climate and organizing history at the University of Manitoba is examined and demonstrates that core competencies of librarians and archivists are valuable and imperative skills in faculty union organizing. Librarians and archivists can use this narrative to inform the development of their own activism within their unions and workplaces, and to examine how their own skills may help enhance and improve their working conditions.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.002 |
| Open science | 0.002 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.000 | 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 teacher head, 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".