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Record W1799275298 · doi:10.3138/topia.28.87

Beyond Academic Freedom: Canadian Neoliberal Universities in the Global Context

2012· article· en· W1799275298 on OpenAlexvenueaboutno aff
Sandra Jeppesen, H Mola Nazar

Bibliographic record

VenueTOPIA Canadian Journal of Cultural Studies · 2012
Typearticle
Languageen
FieldSocial Sciences
TopicCritical Race Theory in Education
Canadian institutionsnot available
Fundersnot available
KeywordsAcademic freedomNeoliberalism (international relations)OppressionHuman rightsSociologyPostcolonialism (international relations)Corporate governancePolitical scienceLawPolitical economySocial scienceHigher educationPoliticsEconomicsManagement

Abstract

fetched live from OpenAlex

In April 2010, the University of Toronto announced receipt of a thirty-five million dollar donation from the Peter and Melanie Munk Charitable Foundation to fund a new institute, to be named the Munk School of Global Affairs. This donation is emblematic of the intensifying neoliberalization of university governance in Canada, and critical responses to it have been twofold. Faculty members have suggested that academic freedom—an important principle that protects researchers from censorship, termination and other institutional pressures— is at risk. Students, on the other hand, have drawn attention to the source of Munk’s capital, pointing to his role as CEO of Barrick Gold, and to recent accounts of human rights abuses in Barrick’s mining practices. In practice, however, we have found that both academic freedom and human rights are arguably less available to people in some specific global and social locations. This article will critically analyze the discourses of academic freedom in Canada in relation to human rights discourses in the global South. Using anti-authoritarian intersectionality theory, we argue that in both instances the systems of oppression and exclusion are part of the same logic of global neoliberalism, inflected by intersectionally hierarchical practices of capitalism, patriarchy and colonialism. To conclude, we look briefly at alternative knowledge-production sites that strive for horizontalism in pedagogies, research and governance, and that attempt to eliminate hierarchies by experimenting with real practices of equality—practices that are fundamental to the accessibility of academic freedom.

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)0.001
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.567
Threshold uncertainty score0.676

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.001
Scholarly communication0.0000.001
Open science0.0000.000
Research integrity0.0000.000
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 head0.050
GPT teacher head0.380
Teacher spread0.330 · 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.

The models applied no category: nothing in the taxonomy fit this work.
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

Citations20
Published2012
Admission routes2
Has abstractyes

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