Bibliographic record
Abstract
This volume takes an innovative approach to current scholarship by choosing Quebec and Japan as focal areas for a study of small nations. Even though Quebec’s and Japan’s contexts are different, they share a common ground, including their positions relative to the United States, the superpower with which both have long maintained political ties and tensions. Focusing on Quebec and Japan, while including chapters on Newfoundland, Saint-Pierre and Miquelon, Hong Kong, Black communities in the United States and Jews in Russia, this volume explores the diverse and varied experiences of being part of small groups and collectivities. Despite differences, these areas have shared a common experience of being repressed by greater powers. It re-evaluates not only the position of small nations in the studies of history and social sciences but also the process whereby these nations have cultivated their consciousness of themselves as “small,” a quality that has been unduly disregarded far too long. This book illustrates cases in which the term “universal” can be reinterpreted, especially with regard to size, power and human experiences.
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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 | 0.001 | 0.002 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.004 | 0.001 |
| Scholarly communication | 0.006 | 0.003 |
| Open science | 0.002 | 0.002 |
| Research integrity | 0.002 | 0.002 |
| Insufficient payload (model declined to judge) | 0.420 | 0.191 |
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".