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Record W4210715525 · doi:10.3138/cpp.37.4.459

Exploring School Choice in Canada: Who Chooses What and Why?

2011· article· en· W4210715525 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.
venuePublished in a venue whose home country is Canada.
aboutThe title or abstract carries a Canadian signal from the geographic lexicon.

Bibliographic record

VenueCanadian Public Policy · 2011
Typearticle
Languageen
FieldSocial Sciences
TopicGlobal Educational Reforms and Inequalities
Canadian institutionsUniversity of WaterlooMcMaster University
Fundersnot available
KeywordsBannerSchool choiceDemographicsVariety (cybernetics)PsychologySociologyPolitical scienceGeographyDemographyMathematics

Abstract

fetched live from OpenAlex

A variety of policies fall under the banner of “school choice,” each aiming to facilitate educational options beyond a standard public school. This paper pursues three empirical questions. First, at what rates do Canadian parents choose various school options and engage in different forms of choosing? Second, what demographics predict these choices? Third, what educational attitudes and behaviours predict choosing? Data come from a 2005 national survey of Canadian parents that contains comprehensive measures of school options and forms of choosing. Three sets of findings are reported. First, the prevalence of choosing is substantial, with one-third of families opting for a school other than a “standard” public school, and two-thirds exercising some form of school choosing. Second, many of these choices are shaped by parental income and education, though interesting exceptions emerge. Third, school choosing appears to be an extension of parents' participation in their children's education. Policy implications of these findings are discussed.

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 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 score0.744
Threshold uncertainty score0.959

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 studies0.0000.000
Scholarly communication0.0000.003
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 head0.212
GPT teacher head0.303
Teacher spread0.091 · 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