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Record W3039619910 · doi:10.20355/jcie29391

Women's Work and The Library: Ideological Shaping of the Academic Librarian as the Alt-academic

2020· article· en· W3039619910 on OpenAlexaffvenueabout
Eva Revitt

Bibliographic record

VenueJournal of Contemporary Issues in Education · 2020
Typearticle
Languageen
FieldSocial Sciences
TopicLibrary Science and Administration
Canadian institutionsMacEwan University
Fundersnot available
KeywordsIdeologySociologyWork (physics)EthnographyCapitalist mode of productionConsciousnessConstruct (python library)Value (mathematics)Women's workDevaluationSet (abstract data type)Public relationsMedia studiesPolitical sciencePoliticsPsychologyLawBusinessEngineering

Abstract

fetched live from OpenAlex

Overwhelmingly, librarians working at Canadian universities are considered academic staff, if not faculty. However, the role and fit of the academic librarian within the academic enterprise is overshadowed and frequently misunderstood. As alt-academics, librarians' expertise and contribution to the university's academic mission is often sidelined: the nature of the work too frequently viewed through an organizational rather than an academic lens and characterized as preoccupied with a structured set of regularized responsibilities. Drawing on the findings of my doctoral research, an institutional ethnography of librarians' work experiences as academic staff, this article argues that social relations such as those that construct work value are historically rotted and ideologically determined. I propose that our speech, text, and talk, indeed our social consciousness, is permeated by two ideological codes—women's work and the library—that structure librarians' labour in a particular way. Ultimately, I link the devaluation of librarians' work to the necessary gendered exploitation of labour that happens within a capitalist mode of production.

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)0.010
metaresearch head score (Gemma)0.010
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesScience and technology studies
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.963
Threshold uncertainty score0.276

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0100.010
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0060.006
Science and technology studies0.0370.076
Scholarly communication0.0300.007
Open science0.0020.010
Research integrity0.0030.003
Insufficient payload (model declined to judge)0.0030.001

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 head0.071
GPT teacher head0.347
Teacher spread0.276 · 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.

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
Published2020
Admission routes3
Has abstractyes

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Same venueJournal of Contemporary Issues in EducationSame topicLibrary Science and AdministrationFrench-language works237,207