Network Structure of an Industrial Cluster: Electronics in Toronto
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
The literature on the theory of regional industrial success, including that focused on regional innovation systems, provides the conceptual foundation for this exploration of the extent to which firms in clusters of advanced technology industry depend on interregional sources for a wide variety of knowledge inputs to support innovation. The substantive focus is the electronics cluster of the Toronto region, Canada's largest manufacturing center. A small, stratified sample of establishments drawn from this cluster is used to verify the importance of external sources of material inputs, and other knowledge sources, and the strength of distant market connections. Interregional and local collaboration vary in importance as a result of scale-dependent resource differences between firms and in response to choices associated with foreign rather than domestic ownership. The results support the rejection of simple models of clusters and learning regions in which internal connections are privileged over interregional and international transactions operating either between or within firms.
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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 it