New Trade Rules, Technological Disruption and COVID-19: Prospects for Ontario in the Cross-Border Great Lakes Automotive Industry
Bibliographic record
Abstract
Canada has been characterised as a 'semi-peripheral' automotive-producing nation. This paper argues that to frame Canada only as a singular 'national' automotive industry is ill-conceived. Overwhelmingly concentrated in Ontario, Canadian automotive production forms an integral and important part of the cross-border Great Lakes automotive production region. The fortunes of automotive production in Canada are reliant, therefore, not only on 'national' policies but also on the continued vitality of the industry in this broader region and must be analysed as such. An analysis of the state of the industry in Canada stressing its integration within the Great Lakes automotive region is followed by an assessment of how the industry in the region, and especially in Ontario, might be impacted by impending challenges. These include supply chain weaknesses exposed by COVID-19, the more complex and stringent USMCA automotive rules of origin, and technological disruption associated with the transition to electric vehicles.
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How this classification was reachedexpand
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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| 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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, 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".