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Record W2606741348 · doi:10.14507/epaa.25.3012

Introduction to the special issue: Studying school choice in Canada

2017· article· en· W2606741348 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.
aboutThe title or abstract carries a Canadian signal from the geographic lexicon.

Bibliographic record

VenueEducation Policy Analysis Archives · 2017
Typearticle
Languageen
FieldSocial Sciences
TopicSchool Choice and Performance
Canadian institutionsUniversity of Manitoba
Fundersnot available
KeywordsMarketizationGlobeCompetition (biology)DemocracyOrder (exchange)MulticulturalismPolitical scienceSchool choiceSociologyPublic relationsPublic administrationPedagogyEconomicsPsychology

Abstract

fetched live from OpenAlex

In this article, we introduce the special issue that illuminates issues in school choice and education marketization in contemporary Canada. We begin with a discussion of the proliferation of market models across the globe and the kind of questions that have arisen as public policymakers, philanthropists, and other private interests have embraced and advanced market-oriented reforms. Then we turn to Canada, and briefly discuss the scholarly literature on education privatization and school choice in the past two decades. After that, we present the five articles, highlighting how each piece contributes to a deeper understanding of the changing landscape of choice and competition, as well as how these changes impact schools and communities in a diverse, multicultural country. We conclude by discussing the importance of continuing empirical research in order to inform important debates about how to best meet the needs of the students in a democratic society.

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.

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)0.002
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesScience and technology studies
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.403
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0020.000
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0000.000
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 head0.022
GPT teacher head0.360
Teacher spread0.338 · 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