Bibliographic record
Abstract
The Canadian Multicultural Mosaic has long been recognized as an – if not the – outstanding characteristic of the Canadian nation at home and abroad. It has, further, come to be regarded as a model worldwide of a well-functioning culturally diverse society. This first book-length study of Canadian multicultural children's literature sets out to explore how literature for the young has contributed to the creation of the country's multicultural discourse as well as to the construction of its national identity. In this context, children's literature possesses particular significance, as juvenile literature by nature serves an educational purpose which extends to forming and informing the next generation of a country's citizens. In order to achieve a deeper understanding of the complex structures at work, not only the fictional works themselves but also Canada's policy with regard to children's culture and literature have been examined. In order to provide an optimally comprehensive picture, chapters include, among other aspects, information on public library services for immigrant children, on Canadian research collections specializing in children's literature, on Canadian publishing for children, and on promotional activities. The works of fiction examined cover the period from 1950 to 1994 – thus illustrating the development of the nation's multicultural discourse – and include various Canadian regions as well as protagonists belonging to different ethnic groups. While the approach is interdisciplinary, the novels discussed are above all read against the tenets of Canadian multiculturalism as manifested in such core documents as Prime Minister Trudeau's 1971 parliamentary declaration and the 1988 Canadian Multiculturalism Act. The chief objective of the present study is to understand the interdependence between ideology, children's literature, and the creation of a national discourse.
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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 | 0.004 | 0.005 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.040 | 0.020 |
| Scholarly communication | 0.017 | 0.008 |
| Open science | 0.001 | 0.009 |
| Research integrity | 0.002 | 0.004 |
| Insufficient payload (model declined to judge) | 0.015 | 0.002 |
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".