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Record W2122057814 · doi:10.1093/esr/jcs065

Are There Catholic School Effects in Ontario, Canada?

2012· article· en· W2122057814 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

VenueEuropean Sociological Review · 2012
Typearticle
Languageen
FieldAgricultural and Biological Sciences
TopicPasture and Agricultural Systems
Canadian institutionsMcMaster University
Fundersnot available
KeywordsSociologyDemographic economicsPolitical scienceEconomics

Abstract

fetched live from OpenAlex

Spearheaded by James Coleman three decades ago, two generations of American social scientists have investigated whether students in Catholic schools achieve more than students in public schools, net of their demographics, prior achievement, and school resources. Though this research tradition has not reached a consensus in the United States, it provides a viable framework for analyzing school sector effects in other nations. I search for Catholic school effects in Ontario, Canada, arguing that the province’s funding and governance arrangements and student populations make Catholic and public schools more readily comparable than they are in the United States. Data come from a variety of regression, multi-level and propensity score matching models for Grade 3 reading, writing, and math achievement for more than 55,000 elementary students, which represent over one-half of the provincial cohort of English language students. This article finds modest total Catholic school effects and estimates net effects to range from zero to 12 per cent of a standard deviation, controlling for demographics and kindergarten school readiness. These effects are deemed small by several empirical benchmarks and inconsistent with Coleman’s thesis.

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)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.470
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

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 head0.040
GPT teacher head0.231
Teacher spread0.191 · 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