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Record W1500006616 · doi:10.1108/09513540510582444

Consumerism in education

2005· article· en· W1500006616 on OpenAlexaboutno aff
Ina Freeman

Bibliographic record

VenueInternational Journal of Educational Management · 2005
Typearticle
Languageen
FieldSocial Sciences
TopicHigher Education Governance and Development
Canadian institutionsnot available
Fundersnot available
KeywordsCornerstoneOriginalityGlobalizationConsumerismHigher educationValue (mathematics)CommodityProduct (mathematics)Economic growthPolitical scienceInternational educationComparative educationEducation economicsEconomics educationEconomicsSociologyPublic relationsSocial scienceMarket economy

Abstract

fetched live from OpenAlex

Purpose With the emergence of the knowledge economy different countries are responding with changes within their tertiary education systems. Education is increasingly recognized as a cornerstone to the continued growth of a country but with the globalization of business is education becoming a commodity? Design/methodology/approach This paper examines educational policies and their implementation within the UK and Canada. Findings This paper finds that education in the UK has become a commercial product within the international arena, unlike Canada where tertiary education has remained a domestic pursuit. Originality/value This paper engages in a controversy that questions whether the economic value to a nation of education is found only in the numbers of students or can be enlarged to include the results of the education for the students.

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)0.002
metaresearch head score (Gemma)0.003
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.013
Threshold uncertainty score0.056

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.003
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.002
Science and technology studies0.0030.027
Scholarly communication0.0050.004
Open science0.0000.002
Research integrity0.0030.002
Insufficient payload (model declined to judge)0.0130.001

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 head0.010
GPT teacher head0.358
Teacher spread0.349 · 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 designNot applicable
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

Citations28
Published2005
Admission routes1
Has abstractyes

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