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Record W3115852685 · doi:10.33137/cjal-rcbu.v6.34008

The Labour of Austerity

2020· article· en· W3115852685 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.

venuePublished in a venue whose home country is Canada.
no affNo Canadian affiliation: this work is invisible to an affiliation-only frame.
No Canadian affiliation. An affiliation-only frame, the usual design, would never have seen this work. It is one of the works that make the case for inverting the frame.

Bibliographic record

VenueCanadian Journal of Academic Librarianship · 2020
Typearticle
Languageen
FieldSocial Sciences
TopicUniversity Challenges and Reforms
Canadian institutionsnot available
Fundersnot available
KeywordsAusterityAutoethnographyDissentResistance (ecology)SilenceSociologyProductivityPsychicPolitical sciencePublic relationsSocial psychologySocial sciencePsychologyAestheticsLawEconomic growthEconomicsArt

Abstract

fetched live from OpenAlex

This essay explores the social-psychic toll of prolonged austerity on academic librarians and the range of strategies that have (or could) serve as tools of resistance. Using a combination of theoretical analysis and autoethnography, I examine the emotional impact of bottomless and invisible labour imposed by austerity and the ways institutions use emotional coercion to promote self-surveillance, meta-work, and hyper-productivity. Following this analysis, I discuss the ways that oppressive institutional cultures silence dissent and absorb common resistance tactics advocated by educators. Finally, I introduce several examples of performance-based resistance projects and explore how creative, personal, and absurd forms of protest might be used to critique and transform the culture of work and our affective experience as knowledge workers in the neoliberal academy.

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)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.914
Threshold uncertainty score0.616

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.001
Open science0.0010.000
Research integrity0.0000.001
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 head0.074
GPT teacher head0.266
Teacher spread0.192 · 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