“We Simply Have to Do that Stuff for our Survival”: Labour, Firm Innovation and Cluster Governance in the Canadian Automotive Parts Industry
Bibliographic record
Abstract
Abstract Based on a case study of the Canadian Auto Workers (CAW) union in southern Ontario we argue for a critical reconstruction of both the labour geography and industrial cluster literature. The former stresses the active role of labour in the formation of economic landscapes, but has yet to explore labour's agency in production and how labour institutions shape technological change, firm innovation and industrial policy and strategy. Conversely, much of the industrial cluster and regional innovation systems literature is silent on the role of unions and industrial relations institutions in fostering innovation. We conclude with two main points. First, while some contend that positive union roles in innovation can only stem from partnerships with management and team working, we argue that innovation is more likely to emerge and worker interests are better protected when traditional collective bargaining structures and progressive employment legislation play a central role. Second, positive workplace and cluster level cooperation in the Canadian automotive parts industry are jeopardized by the broader and ongoing macro‐economic restructuring of OEM global production networks due to over‐capacity and intense cost‐cutting pressures reverberating down the supply chain.
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 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 | 0.002 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| 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".