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Record W2289957662 · doi:10.5539/ies.v9n2p32

Clash inside the Academy: The Market and the Strife for the Democratic Values of the Western University

2016· article· en· W2289957662 on OpenAlexvenueno aff
Imad Gburi

Bibliographic record

VenueInternational Education Studies · 2016
Typearticle
Languageen
FieldSocial Sciences
TopicHigher Education Governance and Development
Canadian institutionsnot available
Fundersnot available
KeywordsDemocracyNeoliberalism (international relations)PopularityPublic administrationSociologyPoliticsState (computer science)Free marketOrthodoxyPolitical economyPolitical scienceLaw

Abstract

fetched live from OpenAlex

The growing popularity of the corporate university model raises the question of whether the market principles are suitable for planning the policy of a key enterprise like the university without weakening its capacity of pursuing critical knowledge and teaching for democracy. Does the inclusion of the free market imperatives in the functioning of the university improve its overall quality? Is there a clash between the values of the university and those of the market? What is really at stake for democratic societies? This paper addresses these questions through a conflict perspective on neoliberalism as the orthodoxy of state planning and the implications of this operational model on the core values of the Western university. The paper also takes a historical approach on state intervention to explain the political circumstances that accompanied this orientation to public policy and to offer perspective on the relevance of the state to liberal democratic society.

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)0.004
metaresearch head score (Gemma)0.005
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: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.013
Threshold uncertainty score0.046

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0040.005
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0100.035
Scholarly communication0.0130.006
Open science0.0000.005
Research integrity0.0020.004
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 head0.052
GPT teacher head0.383
Teacher spread0.331 · 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
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

Citations5
Published2016
Admission routes1
Has abstractyes

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