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Record W2274816615

Private interest Vs public good: shifting expectations in the policy and politics of education

2006· article· en· W2274816615 on OpenAlexaff
Stephen Crump

Bibliographic record

VenueNOVA (University of Newcastle Australia) · 2006
Typearticle
Languageen
FieldSocial Sciences
TopicGlobal Educational Policies and Reforms
Canadian institutionsMcGill University
Fundersnot available
KeywordsPoliticsPublic interestEconomicsPublic relationsBusinessPolitical sciencePublic administrationPublic economicsLaw
DOInot available

Abstract

fetched live from OpenAlex

This paper explores the conference theme by questioning what the public interest is in the refinancing of education by the private sector, and by demonstrating how definitions of ‘public’, ‘private’ and ‘the state’ are shifting and intermingling in this context. We argue that a new language of description is emerging that is largely unquestioned, couched as it is in a rhetoric of community improvement and benefit. We see this discourse generating a new construct of ‘the common good’ and the ‘common wealth’ that is shrewd and expedient, but potentially breaking the high levels of trust between state and citizens that has been a hallmark of education in Australia, the USA and England. This redefinition of public interest is one in which the state is extending its intervention under the umbrella of an inclusive rhetoric. What we see emerging is a new (though essentially Deweyan) epistemology of policy and politics in which there is dysfunction between falsely competing expectations driving new community, professional and sectoral alignments. The result is new loci of power emerging from experience and knowledge about policy-making and educational practice, but not necessarily greater public interest.

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)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.944
Threshold uncertainty score0.993

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0000.000
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 head0.143
GPT teacher head0.370
Teacher spread0.227 · 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 designTheoretical or conceptual
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
Published2006
Admission routes1
Has abstractyes

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