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Record W4389521851 · doi:10.1080/10714413.2023.2285652

Cracking foundations, contested futures: Post-secondary education in Alberta at the end of the holocene

2023· article· en· W4389521851 on OpenAlexaboutno aff
Laurie E. Adkin

Bibliographic record

VenueThe Review of Education Pedagogy & Cultural Studies · 2023
Typearticle
Languageen
FieldSocial Sciences
TopicEducation Systems and Policy
Canadian institutionsnot available
Fundersnot available
KeywordsCommodificationNeoliberalism (international relations)CorporatizationMarketizationAgency (philosophy)Political scienceRestructuringPublic administrationSociologyCorporate governanceState (computer science)Political economyEconomySocial scienceLawEconomicsManagement

Abstract

fetched live from OpenAlex

This article introduces the special issue of REPCS dedicated to the analysis of the restructuring of higher education in Alberta, Canada. It describes the acceleration of the processes of commodification of education and research and the corporatization of institutional governance under the government that took office in April 2019. The Alberta case is situated within the political economy of this petro-state, governed by a right-wing populist party, as well as in relation to the global trends in post-secondary education driven by neoliberal regimes. Further, the article highlights the cracks in the foundations of modern universities that have deeper historical origins than neoliberalism, and that are widening as the governance and raison d‘être of these institutions are challenged by global socio-ecological crises and Indigenous-led decolonization and climate justice movements. Drawing upon first-hand knowledge, as a participant in the struggles at the University of Alberta, as well as extensive research into the government’s restructuring agenda and the impacts on the post-secondary sector, the author outlines proposals for reform of the legislative framework governing the relationship between universities and the state, as well as the internal governance of the institution, and assesses the current terrain of agency for such transformation.

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)0.002
metaresearch head score (Gemma)0.003
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 score0.221
Threshold uncertainty score0.991

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.003
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0010.001
Scholarly communication0.0000.000
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 head0.082
GPT teacher head0.477
Teacher spread0.395 · 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

Citations3
Published2023
Admission routes1
Has abstractyes

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