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Record W3212881634 · doi:10.20381/ruor-27120

Representations of Religion in the Ontario Secondary School Curriculum

2021· dissertation· en· W3212881634 on OpenAlexaboutno aff
Jeremy Cassidy

Bibliographic record

VenueuO Research (University of Ottawa) · 2021
Typedissertation
Languageen
FieldSocial Sciences
TopicReligious Education and Schools
Canadian institutionsnot available
Fundersnot available
KeywordsCurriculumPedagogyMathematics educationSociologyPsychology

Abstract

fetched live from OpenAlex

The Canadian province of Ontario has a long and complicated history with religion in its K-12 education system, culminating in a status-quo where public funding is provided to schools offering either a mandatory, confessionally Roman Catholic form of religious education or a non-mandatory, secular form of “education about religion”. In an effort to better understand the present state of religion-related instruction in Ontario public education, this study examines the representation of religion across relevant portions of the Ontario secondary school curriculum that are shared by both Roman Catholic and secular public schools. Content analysis showed that insofar as mandatory teaching elements are concerned, the curriculum engages with religion across a range of different subject matter contexts but also entirely within courses that Ontario high school students are not required to take. Of particular note is the representation of religion as having apparently no bearing on the principle thrust of Canadian history since 1945. Spirituality, as well as other matters which might reasonably be considered religion-adjacent, are represented as being integral components of Indigenous Canadian cultures, with the distinctive term “world view” frequently employed as an analogue for such topics in this context.

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)0.001
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: Qualitative · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.519
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0010.000
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0020.000

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 head0.039
GPT teacher head0.375
Teacher spread0.336 · 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.

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
Published2021
Admission routes1
Has abstractyes

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