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Record W4244323079 · doi:10.47678/cjhe.v49i1.188211

The Role of Library Councils in Canadian Higher Education: An Exploratory Study

2019· article· en· W4244323079 on OpenAlexafffundvenueabout
Eva Revitt, Sean Luyk

Bibliographic record

VenueCanadian Journal of Higher Education · 2019
Typearticle
Languageen
FieldSocial Sciences
TopicEducator Training and Historical Pedagogy
Canadian institutionsUniversity of AlbertaMacEwan University
FundersMacEwan UniversityUniversity of Alberta
KeywordsScholarshipCorporate governanceContext (archaeology)Function (biology)Higher educationPolitical scienceSociologyExploratory analysisLibrary scienceExploratory researchPublic relationsPublic administrationManagementSocial scienceComputer scienceLaw

Abstract

fetched live from OpenAlex

Scholarship exploring the makeup, function, and efficacy of collegial governance structures within the context of Canadian higher education is limited and primarily focused on the board or the senate. This paper expands that scholarship by focusing on the governance structures of the university library. The objective of this study was to determine the extent of library councils in Canadian universities and to examine their composition, role, and function as evidenced in their governing documents. Using Karl Mannheim’s document method to analyze the terms of reference of 23 library councils, findings reveal that, overwhelmingly, library councils function as information-sharing and discussion forums rather than decision-making bodies. The paper concludes with a review of progressive language and governance practice as gathered from the document analysis.

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

Full frame machine prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.008
metaresearch head score (Gemma)0.022
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.900
Threshold uncertainty score0.726

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0080.022
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0060.010
Science and technology studies0.0260.011
Scholarly communication0.0070.003
Open science0.0020.005
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0040.000

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 head0.054
GPT teacher head0.336
Teacher spread0.281 · 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

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designQualitative
Domainnot available
GenreEmpirical

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

Citations4
Published2019
Admission routes4
Has abstractyes

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