Rooted in place: Regional innovation, assets, and the politics of electric vehicle leadership in California, Norway, and Québec
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
In the media, Norway, California, and Québec are widely acknowledged as innovative leaders in transportation electrification. Yet, what does leadership mean and how did these jurisdictions achieve it? We contend that leadership reflects both intentional forethought through early, experimental and innovative policy to promote electric vehicles and the on-the-ground successful outcomes of these policies. All three jurisdictions have embarked on different leadership paths. We argue that these differences are a function of how electromobility policy entrepreneurs engaged unique pre-existing local assets and activated similar political mechanisms of normalization, coalition building and capacity building. When policy actors harness mutually reinforcing political and industrial dynamics, electric vehicle policies can scale up. Eventually, these dynamics may lead to new industrial path development and the decarbonization of the transportation sector.
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 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.005 |
| 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