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Record W7162007606 · doi:10.82308/35975

Preserving tradition or embracing change: an analysis of the Ethics and Religious Culture and Culture and Citizenship in Québec secondary programs

2025· dissertation· en· W7162007606 on OpenAlexaboutno aff
Elyssia D'Alonzo

Bibliographic record

Venuenot available
Typedissertation
Languageen
FieldSocial Sciences
TopicReligious Education and Schools
Canadian institutionsnot available
Fundersnot available
KeywordsCitizenshipCurriculumPoliticsIdentity (music)Context (archaeology)Government (linguistics)SituatedPolitical culture

Abstract

fetched live from OpenAlex

This thesis examines a change in curriculum. In 2019, the Québec government announced that the elementary and secondary curriculum across all public and private schools within the province would see a shift from the Ethics and Religious Culture program to a new program entitled Culture and Citizenship in Québec. In this study, I investigate how the programs have been framed by their inaugurators throughout political discourses. More specifically, I analyze two political discourses using the Discourse-Historical Approach. I analyze National Assembly press conferences held by former Education Minister Jean-Marc Fournier and Premier François Legault, introducing the programs for which their governments were responsible. These discourses are situated within their historical contexts and understood through the historical consciousness of each inaugurator. This approach further contextualizes the shift in curriculum and explains the interconnection between identity building, curriculum, and historical consciousness. I engage with several theories, namely, the fragile majority, legitimate knowledge, and collective memory, to gain deeper insights into Québec’s unique political and social history and position it within the broader context of Québec’s curriculum

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 machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.002
metaresearch head score (Gemma)0.004
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.113
Threshold uncertainty score0.818

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.004
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0030.005
Science and technology studies0.0150.010
Scholarly communication0.0060.002
Open science0.0010.002
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0060.000

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 head0.062
GPT teacher head0.371
Teacher spread0.309 · 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 source (direct Gemma or distilled Codex), 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

Citations0
Published2025
Admission routes1
Has abstractyes

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Same topicReligious Education and SchoolsFrench-language works237,207