Regionalism in a Global Society: Persistence and Change in Atlantic Canada and New England
Bibliographic record
Abstract
Regionalism in a Global Society: Persistence and Change in Atlantic Canada and New England, Stephen G. Tomblin and Charles S. Colgan, eds., Peterborough: Broadview Press, 2004, pp. 333 Perceived economic globalization and Europe's progressive supranationalism have inspired a regional politics growth industry, centred on Europe, which addresses how regions increasingly form and operate trans-border institutions. Defining regionalism as the creation of new partnerships or regions across jurisdictions, Memorial University's Stephen Tomblin describes this book's thirteen essays, divided almost evenly between Canadian and American scholars, as an effort to overcome the lack of substantial research on North America's cross-border regions (8). The book will satisfy most readers seeking an update on the slowly growing regional initiatives inside the Atlantic region (only sometimes including Newfoundland) and the states of New England. But as the book's contributors make clear, for all the ever-increasing trans-border truck crossings and energy sales, most recently for Sable Island gas, institutional cooperation between these provinces and states remains limited.
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 | 0.002 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.003 | 0.011 |
| Science and technology studies | 0.021 | 0.022 |
| Scholarly communication | 0.015 | 0.005 |
| Open science | 0.002 | 0.006 |
| Research integrity | 0.002 | 0.003 |
| Insufficient payload (model declined to judge) | 0.004 | 0.000 |
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".