Understanding the Influence of Complementary Innovations on Niche Formation in Large Energy Technology Systems : The Case of Distributed Electricity Storage in Ontario’s Electricity System
Bibliographic record
Abstract
This exploratory case study finds evidence that the development of a storage technology niche in Ontario is being strategically managed through different stages by stakeholders within the system. It suggests that the complementary relationship between storage innovations and smart grid transitions supports the strategic management of a storage niche. It also suggests that the development of this niche supports the electricity system transition to smart grid. The study employs the Technology Innovation System (TIS) and Strategic Niche Management (SNM) analysis frameworks predominantly used by authors to study systems in Europe. By presenting empirical data from a jurisdiction outside of Europe, this research contributes to the growing theory on the formation of niches and the influence of complementarity on innovations in large technical systems. It also offers insights to practitioners within this sector, including the new entrants, incumbents and policy makers. Further research is recommended to determine the generalizability of these findings.
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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 | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| 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".