Defying Conventional Wisdom: Political Movements and Popular Contention against North American Free Trade
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
This book offers a crisp and thoughtful account of political phenomena still fresh in the minds of Canadians, and with continuing relevance to policy-making processes. As the first major work on the origins, strategies, and activities of movements and coalitions that arose in Canada and spread across North America to oppose free trade, it captures an important developmental period in Canadian political life. Focusing on an analysis of the Action Canada Network, Jeffrey Ayres adopts a political-process model to link the emergence of popular sector movements and transnational networks to constraints posed by the Canada-US FTA and NAFTA. His extensive use of popular writings and interviews highlights the personal reflections of coalition members and provides an intimate perspective on their strategies and actions. As a contribution both to the study of recent developments in Canadian politics and to our understanding of emerging transnational contention in North America, Defying Conventional Wisdom will appeal to readers across a wide spectrum of interests and backgrounds. University of Toronto Press gratefully acknowledges that this book was sponsored in part by the Association for Canadian Studies in the U.S. and by the Government of Canada.
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.
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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 it