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Record W4389934888 · doi:10.33137/cjal-rcbu.v9.40964

Library Curriculum as Epistemic Justice

2023· article· en· W4389934888 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.
venuePublished in a venue whose home country is Canada.

Bibliographic record

VenueCanadian Journal of Academic Librarianship · 2023
Typearticle
Languageen
FieldSocial Sciences
TopicLibrary Science and Administration
Canadian institutionsWestern University
Fundersnot available
KeywordsDecolonizationCurriculumSociologyInformation literacyPedagogyColonialismEpistemologyPolitical scienceLawPolitics

Abstract

fetched live from OpenAlex

Information literacy scholars and leaders are calling for the decolonization of library instruction, knowing that our work helps to maintain colonial systems. While there is no checklist or road map to program decolonization, academic libraries and instruction teams must start the work anyway. This article shares the story of curriculum decolonization at Western Libraries, so far, including the decolonization ‘cycle’ we followed and our resulting six learning outcomes. Grounded in epistemic justice, our new curriculum prioritizes living beings over information, and uses a broad, inclusive definition of knowledge throughout. Librarians at Western University acknowledge that the first step in decolonization is making space for multiple ways of knowing and that white librarians have particular responsibilities within this work to decolonize their minds. While our curriculum is far from perfect, we invite other educators to use and adapt our learning outcomes, as well as the decolonization approach and reflection questions shared here.

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)0.001
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.449
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.002
Science and technology studies0.0010.000
Scholarly communication0.0000.008
Open science0.0010.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0010.001

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.

Opus teacher head0.051
GPT teacher head0.310
Teacher spread0.259 · 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