Bibliographic record
Abstract
Much can be learned from a nation's literature. Examining three hundred years of cultural traditions, Katherine L. Morrison, a former American, now a Canadian, takes the reader through the historical, political, and sociological milieu of Canada and the United States to dispel misconceptions that they share near-identical social attitudes and historical experiences.To most Americans and much of the rest of the world, America and Canada differ little except in terms of climate. It is true that they share a common British heritage and immigration patterns, but there are subtle cultural differences between the two countries. These may appear insignificant to Americans, but they are not insignificant to Canadians. Comparing mythologies each of the countries share about the other, the author examines national views of their histories, from the common origin of both nations in the American Revolution, through the two world wars. She also examines the role of nature and images of place and home in Canadian and American literary writing, noting the disparate historical development of the two national literatures. Using specific works by recognized authors of their time, Morrison considers the role of religion and the church, violence and the law, and humor and satire, in the literature of both countries. The book also explores the role of women, race, and class in the literature of both countries. It concludes with a discussion of the tenacity of national myths, and draws some tentative conclusions.Now published in paperback in the United States, Morrison's broad-based approach to a largely unexplored subject will invite future study as well as improve understanding between Canada and the United States. Canadians and Americans will be of interest to cultural historians, American studies specialists, political scientists, and sociologists.
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 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 | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.005 |
| Science and technology studies | 0.021 | 0.003 |
| Scholarly communication | 0.005 | 0.001 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.062 | 0.008 |
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".