Quebec’s Eastern Townships and the World
Bibliographic record
Abstract
The Eastern Townships of Quebec are celebrated in popular discourse as a charming and remote nature playground for busy Montrealers, an appendage to stately Quebec City, and a northern abutment to the Northeast Kingdom of the United States. A closer look reveals a region with its own gravity, sense of being, and worldly connections. Quebec’s Eastern Townships and the World examines the region's direct links to larger prevailing international forces and identities. Here, the Eastern Townships take centre stage as the reader encounters the vibrancy of a place marked not by its insularity but by its long history: a central meeting ground shaped by its many engagements with the world. The book provides new perspectives on compelling and significant topics in Townships history and culture, including Indigenous land use, the mobility of peoples to and from the region, linguistic diversity, economic production, education, sport, religion, and culture in myriad forms. These studies recast the Eastern Townships as a centre, a borderland, a lieu de passage between nations, communities, and peoples. Featuring original and compelling insights, Quebec’s Eastern Townships and the World confirms that this beautiful region was and is a global place, one intimately connected to the world.
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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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.011 | 0.004 |
| Scholarly communication | 0.006 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.028 | 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".