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Record W4402807832 · doi:10.1016/j.acalib.2024.102958

Conflicts of neutrality: Exploring definitions, values, and practices among Canadian academic librarians

2024· article· en· W4402807832 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.
aboutThe title or abstract carries a Canadian signal from the geographic lexicon.

Bibliographic record

VenueThe Journal of Academic Librarianship · 2024
Typearticle
Languageen
FieldSocial Sciences
TopicLibrary Science and Administration
Canadian institutionsMcGill University
Fundersnot available
KeywordsNeutralityAcademic librarySociologyPolitical sciencePublic relationsLibrary scienceComputer scienceLaw

Abstract

fetched live from OpenAlex

Library neutrality, often considered a core value of librarianship, has been facing growing opposition in recent years, but little research exists on how it is being defined and prioritized by practicing librarians. Normally more of a concern in public libraries, increased politicization of academic spaces is bringing the neutrality debate to college and university libraries . This article presents the results of a survey of Canadian academic librarians' attitudes towards library neutrality, including how they define, value and practice neutrality. It is found that Canadian academic librarians most commonly define neutrality as “not taking a side” and that ambivalent and negative conceptions of neutrality are prevalent. Neutrality is largely considered to be impossible and unethical, and seen as significantly less valuable than other library values such as access to information and social responsibility. The unfavourable conceptions and low value attached to neutrality are reflected in Canadian academic librarians' actions and practice. Many librarians are purposely contravening the principle of neutrality by acting in ways that they consider non-neutral, with social justice is a frequent impetus for non-neutral action.

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.

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)0.004
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesScholarly communication
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: Theoretical or conceptual
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.300
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0040.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0000.001
Scholarly communication0.0000.014
Open science0.0010.000
Research integrity0.0000.002
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 head0.266
GPT teacher head0.363
Teacher spread0.097 · 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