Innovation intermediaries accelerating environmental sustainability transitions
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
Institutions in the United States are undergoing modifications that present direct challenges for the environment and society and may result in institutional uncertainty and instability. This article explores whether innovation intermediaries can be employed as a key component of a strategy to create a window of opportunity for green job creation, infrastructure changes, and technological innovation in response to these types of institutional modifications. Based on a systematic literature review, this article outlines a framework that combines institutional modifications with technological innovation and infrastructure development as part of an economic development strategy. Important findings are that connections between innovation intermediaries, such as incubator and accelerator centers, niche actors, such as green champions, and regime actors, such as policy entrepreneurs, show potential to contribute to a green economic development strategy but require further examination for the specific roles played by policy entrepreneurs to help create the conditions for scaling niche experiments and simultaneously disrupting the regime. The key contribution is in defining the role of sustainability-oriented innovation intermediaries at linking local, state and business actions in order to scale-up and influence green economic development in a politically feasible manner during times of institutional uncertainty and instability.
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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.000 | 0.002 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 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