Immigrant Minorities under Canadian Multiculturalism
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
Canada has a growing and diverse immigrant population due to various immigration acts since the 1970s, and it has ever since remained in an ascending order. Canadian immigration policy has been shaped by two principal imperatives: demography and economics; felt-need to populate the vast empty geographical expanse and/or need for young and preferably educated and skilled immigrants to work the economy. In the period after the Second World War, economic needs have largely determined official policy towards immigration. As Canada is becoming an aging society, in the last several decades, both demography and economics led to be liberalized the immigration policies. After 1970s, the huge migration from non-European countries had heightened the ethno-cultural diversity; it created numerous issues among immigrant groups and Canadian mainstream society and its institutions, and prevailing state laws. First segment of the article briefly highlights immigration history of Sikh and Muslim communities in Canada. Second explores the issues of Sikh and Muslim communities in Canada under the state-sanctioned policy of multiculturalism. Third traces the challenges to both specified groups in the aftermath of 9/11 events. Last concludes all parts of study.
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.
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) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 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 it