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Record W4313585831 · doi:10.33137/cjal-rcbu.v8.38832

Ready for a Fair Deal

2023· article· en· W4313585831 on OpenAlexaffvenueabout
Orvie Dingwall, Lyle Ford, Ruby Warren

Bibliographic record

VenueCanadian Journal of Academic Librarianship · 2023
Typearticle
Languageen
FieldComputer Science
TopicInnovative Human-Technology Interaction
Canadian institutionsUniversity of Manitoba
Fundersnot available
KeywordsNegotiationContext (archaeology)Collective bargainingPolitical scienceNarrativePublic relationsEquity (law)Library sciencePublic administrationSociologyManagementLawHistory

Abstract

fetched live from OpenAlex

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.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Direct model labels (unvalidated)

Per-model category and study-design labels from the labeling rounds. They are machine output, unvalidated, and the disagreement between models ships as data. No study design here is MEDLINE-validated yet.

Model armCategoriesStudy designConfidence
gemmaScholarly communication
Domain: not available · Genre: Commentary
About the Canadian research system: yes · About a Canadian topic: no
Not applicablelow
gptno category
Domain: not available · Genre: Other
About the Canadian research system: no · About a Canadian topic: no
Other designlow
models splitAgreement compares identical category sets and study designs across arms.

Full frame distilled prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.591
Threshold uncertainty score0.487

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0000.000
Scholarly communication0.0000.002
Open science0.0020.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0000.000

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.

Opus teacher head0.106
GPT teacher head0.314
Teacher spread0.208 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Labeled directly by 2 models reading the full record.

Scholarly communication

The models disagree on parts of this classification; every voice is preserved in the section at the end of the page.

Study designNot applicable · Other design
Domainnot available
GenreCommentary · Other

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".

Quick stats

Citations0
Published2023
Admission routes3
Has abstractyes

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