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Record W1974194682 · doi:10.1017/s0008423904990142

‘Choice’ Discourse in BC Child Care: Distancing Policy from Research

2004· article· en· W1974194682 on OpenAlexaffabout
Paul Kershaw

Bibliographic record

VenueCanadian Journal of Political Science · 2004
Typearticle
Languageen
FieldSocial Sciences
TopicEarly Childhood Education and Development
Canadian institutionsUniversity of British Columbia
Fundersnot available
KeywordsPolitical scienceHumanitiesContext (archaeology)IdeologySociologyEthnologyPoliticsLawPhilosophyHistory

Abstract

fetched live from OpenAlex

Abstract. The gap between child care research and policy is growing in BC. While policy changes are what one would expect from the right-of-centre Liberal government, the gap runs contrary to its expressed commitment to the design of early childhood development policy on the basis of ‘science.’ The BC child care domain thus provides a rich context in which to examine how ideology mediates the consumption of research in the political arena. This article argues that the government's ‘choice’ discourse facilitates the articulation of neoliberal principles in a rhetorically neutral way while casting doubt on scholarship that illuminates gender and class inequalities. Résumé. L'écart entre les recherches au sujet de soins d'enfant et la politique s'élargit en Colombie-Britannique. Pendant qu'on prévoit ces changements d'un gouvernement libéral droit-du-centre, l'écart dément son engagement de concevoir la politique de development de la petite enfance d'après la “science”. Ainsi la domaine de soins d'enfant en Colombie-Britannique fournit un contexte riche pour examiner comment l'idéologie s'interpose dans la consommation de recherches dans l'arène politique. Cet article soutient que la soi-disant dialogue de “choix” du gouvernement facilite l'articulation des principes néolibéraux d'une manière neutraliste pendant qu'on soulève du doute à l'érudition qui illumine des inégalités de genre et de classe sociale.

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)0.002
metaresearch head score (Gemma)0.005
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 score0.875
Threshold uncertainty score0.998

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.005
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.002
Science and technology studies0.0010.002
Scholarly communication0.0000.000
Open science0.0010.000
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 head0.037
GPT teacher head0.415
Teacher spread0.378 · 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

Citations25
Published2004
Admission routes2
Has abstractyes

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