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“I do have to represent the faith:” An Account of an Ecclesiological Problem When Teaching Philosophy in Ontario’s Catholic High Schools

2022· article· en· W4311949587 on OpenAlexafffundvenueabout
Graham P. McDonough, Lauren Bialystok, Trevor Norris, Laura Elizabeth Pinto

Bibliographic record

VenueEncounters in Theory and History of Education · 2022
Typearticle
Languageen
FieldSocial Sciences
TopicReligious Education and Schools
Canadian institutionsUniversity of TorontoOntario Tech UniversityBrock UniversityUniversity of Victoria
FundersOffice of International Science and EngineeringSocial Sciences and Humanities Research Council of CanadaUniversity of Toronto
KeywordsEcclesiologyCurriculumChristian ministryFaithPhilosophy of educationInstitutionSociologySubject (documents)MysticismPedagogyEpistemologyLawTheologyHigher educationPhilosophySocial sciencePolitical scienceLibrary science

Abstract

fetched live from OpenAlex

The Canadian province of Ontario introduced philosophy as a secondary school subject in 1995 (Pinto, McDonough, & Boyd, 2009). Since publicly-funded Catholic schools teach approximately 32% of all students in Ontario (Ontario Ministry of Education, 2022), the question arises regarding how teachers in those schools coordinate philosophy and Catholic teachings. This study employs a secondary analysis of interviews with six teachers from Ontario’s Catholic schools, and employs two of Avery Dulles’ (2002) conceptions of church (institution and mystical communion) to determine how they consider the choices available within their own tradition that could answer this question. Rather than looking only at the shortcomings of treating magisterial teaching as philosophy, this paper argues that there are also conceptual problems that these courses must address in order to improve their ecclesiological adequacy, and illustrates how an apparent null curriculum privileges the institutional ecclesiology. Keywords: Catholic education, Catholic school, philosophy, ecclesiology, null curriculum, high school philosophy

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)0.005
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: Qualitative · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.492
Threshold uncertainty score0.983

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0050.000
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)0.0000.000

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 head0.028
GPT teacher head0.319
Teacher spread0.290 · 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 designQualitative
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

Citations1
Published2022
Admission routes4
Has abstractyes

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