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Record W4255205946 · doi:10.4324/9780203701638-5

Critical Pedagogy in the Neoliberal University: Reflections on the 2015 York University Strike through a Marcusean Lens

2018· book-chapter· en· W4255205946 on OpenAlexaboutno aff
Dean Caivano, Rodney Doody, Terry Maley, Chris Vandenberg

Bibliographic record

Venuenot available
Typebook-chapter
Languageen
FieldSocial Sciences
TopicCritical and Liberation Pedagogy
Canadian institutionsnot available
Fundersnot available
KeywordsLens (geology)Political scienceSociologyNeoliberalism (international relations)Media studiesEngineeringPolitical economy

Abstract

fetched live from OpenAlex

In this article, we see the month-long graduate student and contract faculty strike at York University (Toronto, 2015) through a lens informed by Herbert Marcuse’s thought. In the context of widespread student protests across North America against neoliberal austerity, we draw on our picket line experiences to argue that Marcuse’s work provides insights into how students and faculty can engage in critical praxis within the neoliberal university. We argue that CUPE 3903, the union of TAs and contract faculty at York, is a kind of counter-institution that Marcuse argued was necessary for liberation. Marcuse strategically urged students to take advantage of gaps or cracks in a disintegrating system. Our analysis revolves around the complex experience of the graduate student picket lines – a “gap” – as a site of rupture for the liberation of aesthetic experience, “organized spontaneity,” open, democratic organization, as well as conflict.

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)0.005
metaresearch head score (Gemma)0.006
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Other · Consensus signal: none
Teacher disagreement score0.922
Threshold uncertainty score0.241

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0050.006
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0290.056
Scholarly communication0.0120.008
Open science0.0010.009
Research integrity0.0040.011
Insufficient payload (model declined to judge)0.0040.000

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 head0.145
GPT teacher head0.401
Teacher spread0.256 · 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 designQualitative
Domainnot available
GenreOther

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
Published2018
Admission routes1
Has abstractyes

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