Bibliographic record
Abstract
The 1965 Canada-U.S. Automotive Products Trade Agreement fundamentally reshaped relations between the automotive business and the state in both countries and represented a significant step towards the creation of an integrated North American economy.Breaking from previous conceptions of the agreement as solely a product of intergovernmental negotiation, Dimitry Anastakis's Auto Pact argues that the 'big three' auto companies played a pivotal role in -and benefited immensely from -the creation and implementation of this new automotive regime, which effectively erased the Canada-U.S. border.Drawing from newly released archival sources, Anastakis demonstrates that, for Canada's automotive policymakers, continentalism was a form of economic nationalism.Although the auto pact represented the end of any notion of an indigenous Canadian automotive industry, significant economic gains were achieved for Canadians under the agreement.Anastakis provides a fresh and alternative view of the auto pact that places it firmly within contemporary debates about the nature of free trade as well as North American -and, indeed, global -integration.Far from being a mere artefact of history, the deal was a forebear of what is now known as globalization.
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 | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.004 | 0.003 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.002 | 0.002 |
| Insufficient payload (model declined to judge) | 0.885 | 0.753 |
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; the direct Gemma label and the distilled Codex classifier agree on what is shown here.
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".