Bibliographic record
Abstract
Outstanding Academic Title, 2002 - Choice Canadian nationalists in the 19th century argued that the North, with its extremes of winter, distance and isolation defined the country's essential character and gave its population the resolve and determination necessary to create a prosperous nation. Promoters lauded its enormous economic potential while cursing its vast expanses and dangerous winters. Novelists, poets and painters were awestruck by its boundless reaches and environmental diversity. Today, the North retains its complex place within the Canadian psyche, at once celebrated as the very essence of the nation, while being largely ignored by a population that clings to the Canada-USA border. Many have debated its significance in Canada's history, and have attempted to bring the region to the attention of the rest of the country by carving out a niche for norther history within the academic curriculum. The current generation of historians has a more ambitious and complex agenda. While they are interested in the North for its own sake, they also firmly believe that the study and teaching of Canadian history as a whole does not currently recognize the North's importance to the development of the nation. Northern Visions , by bringing together a variety of perspectives on the history of the North in Canada, raises new questions and challenges existing ideas. Provocative in their interpretations, these essays do not point to a single path forward in the writing of regional history, but instead suggest that it is time to rethink some of our basic conceptions—and misconceptions—about the North. Northern Visions calls upon historians of both region and nation to broaden their range of research, to connect regional developments to activities in other northern regions of the world, and to think much more widely about the place of the North in the understanding of Canada's past.
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 | 0.004 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.018 | 0.003 |
| Scholarly communication | 0.011 | 0.003 |
| Open science | 0.001 | 0.004 |
| Research integrity | 0.002 | 0.004 |
| Insufficient payload (model declined to judge) | 0.134 | 0.036 |
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".