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Record W2159166070

Teaching within a Consumer Model of Higher Education

2014· article· en· W2159166070 on OpenAlexaff
Mandy Frake-Mistak

Bibliographic record

VenueDOAJ (DOAJ: Directory of Open Access Journals) · 2014
Typearticle
Languageen
FieldSocial Sciences
TopicHigher Education Governance and Development
Canadian institutionsYork University
Fundersnot available
KeywordsConsumerismConceptualizationIdeologyCurriculumSociologyHigher educationInstitutionPoliticsWork (physics)Public relationsPedagogyPolitical scienceSocial scienceEconomic growthEconomicsMarket economyEngineering
DOInot available

Abstract

fetched live from OpenAlex

The political economy of higher education has transformed our ways of thinking about knowledge, teaching and learning, and labour relations. As students are increasingly seeking to attend a university that, they perceive, will offer them the best entry point into the global market place, the work of university teachers is transforming. This literature presents a critical discussion of sociological aspects of consumerism in higher education as it seeks to highlight notions that feed our current conceptualization of consumerism. Furthermore, it articulates a number of critical consequences of teaching to a consumerist ideology. These findings suggest that numerous pedagogical strategies have been implemented in response to the current political economic climate of higher education, and that curriculum has become increasingly responsive to stakeholders in higher education as well as the strategic positioning of programs within the institution and the global labour market. This discussion is framed by a discourse of labour relations.

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)0.002
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 score0.008
Threshold uncertainty score0.052

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0040.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0040.022
Scholarly communication0.0080.006
Open science0.0010.003
Research integrity0.0030.003
Insufficient payload (model declined to judge)0.0080.001

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 head0.224
GPT teacher head0.571
Teacher spread0.347 · 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

Citations0
Published2014
Admission routes1
Has abstractyes

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