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Record W1996692529 · doi:10.1080/02680939.2014.895853

Exposing ideology within university policies: a critical discourse analysis of faculty hiring, promotion and remuneration practices

2014· article· en· W1996692529 on OpenAlexaff
Sedef Uzuner-Smith, Karen Englander

Bibliographic record

VenueJournal of Education Policy · 2014
Typearticle
Languageen
FieldSocial Sciences
TopicHigher Education Governance and Development
Canadian institutionsYork University
Fundersnot available
KeywordsRemunerationIdeologyDisadvantagedPromotion (chess)Neoliberalism (international relations)Critical discourse analysisSociologyPublic relationsHigher educationPolitical scienceTurkishDiscourse analysisEconomic growthPublic administrationSocial scienceEconomicsPolitics

Abstract

fetched live from OpenAlex

Using critical discourse analysis (CDA), this paper exposes the neoliberal ideology of the knowledge-based economy embedded within university policies, specifically those that regulate faculty hiring, promotion, and remuneration in two national contexts: Turkey and Mexico. The paper follows four stages of CDA: (1) focus upon a social wrong in its language aspect; (2) identify obstacles to addressing the social wrong; (3) consider whether the social order in a sense ‘needs’ the social wrong; and (4) identify possible ways past the obstacles. The analysis demonstrates that the global, marketized climate of higher education has impacted Turkish and Mexican universities to such a degree that they have become increasingly corporate in their practices of management. The resulting effect is the creation of a performance culture that robs faculty of their professionalism. This paper uncovers this disadvantaged positioning of faculty and posits modest proposals for change.

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)0.023
metaresearch head score (Gemma)0.021
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesMetaresearch
Consensus categoriesnone
DomainCandidate signal: Incentives · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.977
Threshold uncertainty score0.130

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0230.021
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0060.005
Science and technology studies0.0150.038
Scholarly communication0.0150.013
Open science0.0020.005
Research integrity0.0030.004
Insufficient payload (model declined to judge)0.0010.000

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 head0.045
GPT teacher head0.452
Teacher spread0.407 · 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.

Study designQualitative
DomainIncentives
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

Citations29
Published2014
Admission routes1
Has abstractyes

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