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Record W3117274260 · doi:10.33137/cjal-rcbu.v6.34402

Critical Library Performativity: Toward Progressive Change in Academic Library Management and Organizations

2020· article· en· W3117274260 on OpenAlexvenueno aff
Danya Leebaw

Bibliographic record

VenueCanadian Journal of Academic Librarianship · 2020
Typearticle
Languageen
FieldSocial Sciences
TopicLibrary Science and Administration
Canadian institutionsnot available
Fundersnot available
KeywordsCritical management studiesPerformativityPerformative utteranceReflexivityScholarshipFraming (construction)SociologyCritical theoryConstruct (python library)Engaged scholarshipLibrary managementPublic relationsOrder (exchange)Engineering ethicsManagementEpistemologyPolitical scienceSocial scienceLibrary scienceBusinessEngineeringComputer scienceGender studies

Abstract

fetched live from OpenAlex

Can library managers be #critlib? Do articles and conversations about critical theory really lead to progressive changes in library organizations and management? Critical management studies (CMS), a subfield of management studies, calls for denaturalization of taken-for-granted management practices, reflexivity in methods, and anti-performative goals. However, worried that CMS is too idealistic and ineffective, some of its adherents have proposed a theoretical construct they call “critical performativity” (CP). CP aims to bridge critical theory and authentic engagement with practicing managers. This article introduces and summarizes CP scholarship, and then considers the lessons CP has for critical library scholars, workers, and managers. Unlike our CMS scholarly counterparts, most librarians who align with critical perspectives are also themselves practitioners. For us, CP offers useful framing and thought-provoking ideas for integrating our critical leanings and our daily practice in order to work for achievable change.

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 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)0.000
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesScholarly communication, Insufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.670
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.002
Science and technology studies0.0000.001
Scholarly communication0.0000.023
Open science0.0010.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0010.000

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 head0.086
GPT teacher head0.316
Teacher spread0.229 · 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 teacher head, not a consensus.

Study designObservational
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

Citations1
Published2020
Admission routes1
Has abstractyes

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