Embracing multiculturalism of Canada: the roots & the present-day realities
Bibliographic record
Abstract
The paper provides the framework for embracing multiculturalism as a source of national identity, a political ‘profession de foi’, and an engine for a government to gain positive outcomes, leading to better immigrant integration and economic advantages for any country in the world. Noteworthy, Canadian federal policy of multiculturalism, since its official adoption in 1971, is witnessed to work stunningly and in contrast to developments elsewhere – in Canada, public support for multiculturalism is seeing unprecedented growth. Currently, the diversity of the Canadian populace is increasing faster than at any time in its history; Canada’s ethnic makeup has notably altered over the time due to changing immigration patterns. According to the latest poll findings, 84% of Canadians agree with the statement that ‘Canada’s multicultural makeup is one of the best things about this country’; 61% of Canadians believe multiculturalism ‘strengthens national identity’. Moreover, released data from Environics reveals that 27% of Canadians believe ‘multiculturalism is the one characteristic about Canada that most deserves to be celebrated on its upcoming 150thanniversary. Undeniably, people around the world tend to view Canada as “good”. Importantly, the election of Justin Trudeau is viewed as an excellent opportunity to invigorate brand Canada. Noteworthy, brand Justin Trudeau is currently composed of his belief in and promotion of the values of tolerance, equality and diversity. While recognizing the value for society of the human dignity inherent in each individual, Trudeau’s government aims to push beyond mere tolerance to mutual understanding and respect. Keywords: Multiculturalism of Canada, immigration, digital diplomacy, brand, national identity, poll, ethnic groups
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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.004 | 0.001 |
| 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".