Eve Haque. Multiculturalism within a Bilingual Framework: Language, Race and Belonging to Canada
Bibliographic record
Abstract
Eve Haque. Multiculturalism within a Bilingual Framework: Language, Race and Belonging to Canada. Toronto: University of Toronto Press, 2012. 309 pp. Notes. Bibliography. Index. $29.95 sc. This book gives a detailed account of how Canadian 1969 Official Languages Act and 1971 Multiculturalism policy emerged out of Royal Commission on Bilingualism and Biculturalism that took place across Canada in 1960s, better known as B and B Commission. The author attributes creation of B and B Commission to three mean reasons: the radical changes taking place in immigration policy, federal government's attempts to abolish Indian Act, and rise of Quebec's linguistic nationalism ... (31). In her discussion, author argues that ethnic groups other than majority Anglophone and Francophone communities, despite fact that they were invited to participate in discussion, were in fact excluded from decision-making process--as in case of Indigenous groups. These groups lacked political power vis-a-vis Anglophones and Francophones, considered, in official discourse, as races in Canada. Using methodological approach of Foucault's genealogy, where history is not understood as a continuity of events, but rather as oriented to revealing discontinuities (26), author undertook a thorough analysis of key documents from B and B Commission--the preliminary hearings and report, public hearings and research conducted in context of Commission, Book I on official languages, and Book IV on cultural contributions of other ethnic groups. Her analysis focused on role played by ethnic and indigenous groups in work of B and B Commission. Written in a very accessible style, book explores various key debates that took place during B and B Commission work. The first debate concerned use of word race to define country's founding groups (Anglophones and Francophones). The term of reference races was highly criticized by many. The word race was a source of misunderstanding, even though Commission tried to present it as a synonym for Interestingly enough, in French versions of commission's documents, this word was not used and races were rather named les deux peuples fondateurs. The author illustrates this debate by looking specifically at contributions of key individuals from Commission, as well as at those of influential representatives of diverse groups who did not agree with this term, although for different reasons. The major contribution of this book is to draw attention to profound contradiction regarding importance of language in maintenance of a culture. The B and B Commission argued that in context of two races, language was crucial in building of Canadian nation. …
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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 | 0.004 |
| 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 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".