Dimitry Anastakis. Autonomous State: The Struggle for a Canadian Car Industry from OPEC to Free Trade.
Bibliographic record
Abstract
The auto sector holds a privileged position in Canadian political and economic life due to the high level of employment, tax revenue, exports, research and development, and technological spinoffs it provides. It also made Ontario, a beneficiary of geography and of government policy, the manufacturing heartland of Canada. Dimitry Anastakis has written the definitive book on the Canadian auto sector, tracing it from the 1965 Canada-U.S. Auto Pact up to the 1988 Canada-U.S. Free Trade Agreement (CUSFTA). It is a story of negotiations between the federal governments in Canada and the United States (Japan makes an appearance, too), provincial/state governments, the Big Three automakers (General Motors, Ford, and Chrysler), major non–Big Three automakers (Volkswagen, Datsun, Toyota, Honda), smaller auto companies (American Motors, Studebaker, Bricklin), parts manufacturers (Magna), and unions (the United Auto Workers [UAW] and the Canadian Auto Workers [CAW]). Topics include technical items on trade and investment such as tariffs, ratios of cars produced to cars sold, value-added requirements, Canadian content requirements, subsidies, quotas, and rules of origin. Although the book is organized roughly chronologically, each chapter has a specific theme: negotiating the Auto Pact; competing and complementary government regulations on auto safety (late 1960s), emissions (early 1970s), and fuel economy (mid-1970s); attracting a “fair share” of auto investment in Canada; the Chrysler bailout of 1980; an assessment of the Auto Pact (described as a hybrid between free trade and protectionism); the separation of the CAW from the UAW; the arrival of Japanese auto companies; and negotiating the CUSFTA.
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 | 0.003 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.004 | 0.006 |
| Science and technology studies | 0.006 | 0.004 |
| Scholarly communication | 0.004 | 0.004 |
| Open science | 0.002 | 0.002 |
| Research integrity | 0.004 | 0.004 |
| Insufficient payload (model declined to judge) | 0.022 | 0.005 |
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".