Post-secularism, Multiculturalism, Human Rights, and Religion in Ontario
Bibliographic record
Abstract
Most Canadians believe that they have resolved the issue of religious freedom—as well as the problems of the injustice of Christian privilege and discrimination based on religion—by redefining the social order according to Canadian models of secularism, multiculturalism, and human rights. Typical of this resolution were the protections against discrimination based on religion or “creed” in the Ontario Human Rights Code, drafted in 1962. However, dramatic social and demographic changes in Ontario over the last fifty years have presented the efforts of the Ontario Human Rights Commission to protect and promote religious freedom with unexpected challenges. New forms of ethno-racial and religious pluralism, more widespread secularism, more religious hybridity and innovation, and greater degrees of individualized expression of religious identity have forced the Commission to rethink its policies pertaining to religious freedom. The Commission is wrestling with the fact that not only has Ontario become more religiously diverse in terms of the number of world religions and sub-divisions in those traditions, but religion in Ontario is expressing itself in unprecedented forms. At the same time, jurisprudence and public attitudes about the role of religion in secular, liberal democracies are also evolving. This article examines the Commission’s treatment of religious freedom in its policy work on balancing competing human rights and protection of freedom based on creed. It analyzes the Commission’s challenges in formulating policies around religious freedom by examining the interaction between secularism, multiculturalism, and human rights culture in the context of the transition of Canada’s social order to a post-secular society.
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 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 | 0.001 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.003 |
| Science and technology studies | 0.026 | 0.009 |
| Scholarly communication | 0.004 | 0.001 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.006 | 0.000 |
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.
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".