Bibliographic record
Abstract
Integrating the expression of ethnic diversity within the homogenizing logic of the nation state is a complex process. For many years, Canadian multicultural citizenship was portrayed as a role model for other countries in this regard (Runnymede Trust: Commission on the Future of Multi-Ethnic Britain, 2000; Kymlicka and Opalski, 2001). Recently, however, earlier steps towards the liberalization and multiculturalization of immigrant integration policies have been abandoned in many countries (Vertovec and Wessendorf, 2009). Several European states have introduced new citizenship tests that measure immigrants’ adequate skill of a national language, civic knowledge and value compatibility. Canada, too, has recently redressed the boundaries of its citizenship with respect to both legal status and identity. While, comparatively speaking, multiculturalism remains a staple of Canadian citizenship, ‘multicultiphobia’ (Ryan, 2010) — which had been superseded by fears of Québécois separatism in the second half of the 1990s (Winter, 2011) — has an increasing impact on what it means to be a Canadian citizen in the new century.
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 imitationNot 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.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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 teacher head, 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".