Bibliographic record
Abstract
This beautifully written narrative history paints a magnificent picture of the second largest nation on earth. Canada, with its overarching geography of over one million bodies of water, endless prairies, frozen reaches of the north, and awe-inspiring mountain ranges, holds many stunning lands. Often portrayed by the American media as but a pale reflection of the United States, Canada, as displayed here, has a truly complex and intricate image. The political struggles of the past and present and the clash over issues of ethnicity, race, religion, language, and culture are just some of the details that mark this country's unmatched uniqueness. From the earliest contact between Amerindians and Europeans to the current burden of regional, cultural, and ethnic diversity that characterizes Canada in the early 21st century, this history draws the reader into the drama that is Canada. Since its earliest settlement by the French and the British and its struggle as an arena between those contesting empires, Canada has been a center for disagreement and debate. This work examines the economic, political, and ethnic issues of this century, including Canada's participation in world affairs. Short biographies of notable people in Canadian history, a list of all the Prime Ministers in Canada, a timeline of important events, and a bibliographic essay of recommended books and websites add reference value to this engagingly written history.
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 | 0.000 | 0.002 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.006 |
| Science and technology studies | 0.032 | 0.007 |
| Scholarly communication | 0.013 | 0.003 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.002 | 0.003 |
| Insufficient payload (model declined to judge) | 0.041 | 0.004 |
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".