Bibliographic record
Abstract
Religion and state, more specifically religion and law, and religion and education are sub-fields that have received considerable scholarly attention. The interstices between these fields have been much less scrutinized, although it is within these spaces where the particular normativities produced and managed by state, law, and religion can be critically assessed, and where the nature of their interaction can be evaluated. We examine the intersecting normativities of religion with the secular public sphere, with education, and with the law, and their discursive fields with respect to the Programme d’Éthique et culture religieuse ( ECR ) of the Québec Ministry of Education. The distinct interests associated with these discursive fields meet at bases of common concern: religious pluralism, accommodation, and social cohesion. A common discourse emerges here that is informed by what critics identify as the World Religions Paradigm ( WRP ). Rather than examine the ECR simply with respect to its dependence on the WRP , we show how the discourses of the general public, education, and law in Québec and Canada meet to reinforce the WRP to produce a singular normativity that determines the shape of public discourses and representations of religion. In its effort to manage religious freedom and promote multiculturalism, the state (legislatively, legally, and educationally) generates the concrete terms by which citizens are to enact both. The logic of the overlapping normativities in the management of religious freedom and promotion of religious pluralism by the state creates the concrete terms by which religious identity and citizenship are defined.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot 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.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.002 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.009 | 0.030 |
| Scholarly communication | 0.008 | 0.003 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.002 | 0.003 |
| Insufficient payload (model declined to judge) | 0.012 | 0.001 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".