Bibliographic record
Abstract
Demands for cultural citizenship within western democracies identify the shifting needs that arise from culturally diverse and multicultural societies. These demands are increasing while simultaneously, many western societies are re-evaluating their commitments to official policies and discourses of multiculturalism. In the Canadian context, where official multiculturalism has been celebrated since the 1970s, the challenge to the continuity of multiculturalism has been greatly affected by the discursive framing of the ‘war on terror’ since 11 September 2001. In this article I investigate how the cultural has been constituted as a disciplinary discourse that has relied upon an ontologically fixed determination of ethnic difference. I make this argument by investigating the public media, policy and legal discussions that erupted during the ‘Sharia Law’ debates that took place in the province of Ontario, Canada in 2003. I explore how the influence of Mahmood Mamdani's concept of ‘culture talk’ acts as a pervasive authorising discourse in these debates and the impact that this has on the conceptualisation of cultural citizenship.
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 | 0.007 | 0.006 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.018 | 0.125 |
| Scholarly communication | 0.013 | 0.008 |
| Open science | 0.001 | 0.009 |
| Research integrity | 0.003 | 0.005 |
| Insufficient payload (model declined to judge) | 0.002 | 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".