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Record W2256065370 · doi:10.33137/cjal-rcbu.v1.24303

Student Success and the Neoliberal Academic Library

2016· article· en· W2256065370 on OpenAlexvenueno aff
Ian Beilin

Bibliographic record

VenueCanadian Journal of Academic Librarianship · 2016
Typearticle
Languageen
FieldSocial Sciences
TopicUniversity Challenges and Reforms
Canadian institutionsnot available
Fundersnot available
KeywordsPraxisNeoliberalism (international relations)Academic freedomOpenness to experienceSociologyInformation literacyIntellectual freedomOppressionEconomic JusticeHigher educationPublic relationsPolitical sciencePedagogyPsychologySocial scienceCensorshipPoliticsLaw

Abstract

fetched live from OpenAlex

Academic librarians are committed to promoting student success, and information literacy instruction plays a key role in this mission. But the definition of student success is narrowing as the university aligns itself more with neoliberal mandates. Librarians committed to social justice and to basic library values of openness, privacy, and intellectual freedom must increasingly resist this recasting of student success. How can a critical library praxis encourage and support students’ academic and career goals but still remain faithful to the struggle against the system of inequality and oppression that enables success? This article shows how closely linked the idea of success is today to neoliberal imperatives in higher education. It briefly traces the evolution of neoliberalism in higher education and describes and critiques the hallmarks of the neoliberal academic library. It suggests that within the current constraints imposed on them, students can both learn important skills and knowledge to advance themselves and also become better equipped to use those skills and knowledge to challenge and undermine that system and build a better world. Librarians can and must be facilitators of both kinds of success.

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)0.012
metaresearch head score (Gemma)0.019
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Commentary · Consensus signal: Commentary
Teacher disagreement score0.985
Threshold uncertainty score0.108

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0120.019
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0030.003
Science and technology studies0.0150.041
Scholarly communication0.0310.012
Open science0.0020.020
Research integrity0.0030.005
Insufficient payload (model declined to judge)0.0080.002

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 head0.027
GPT teacher head0.265
Teacher spread0.238 · 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 designNot applicable
Domainnot available
GenreCommentary

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

Citations39
Published2016
Admission routes1
Has abstractyes

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