Actors and sectors in technological innovation systems: patterns of knowledge development in the field of second generation biorefineries
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
This paper investigates the relationships between a focal technological innovation system (TIS), its surrounding sectors, and other TISs, through a value chain perspective. We examine how firm actors from sectors with different value chain positioning contribute to the function of the knowledge development in an emerging TIS. By assigning patents to value chain steps in the context of second generation biorefinery technologies, our findings indicate that sectors differ in their knowledge generation patterns in the focal TIS, and that multiple sectors can contribute to knowledge development along the whole TIS value chain. We also differentiate four types of TIS actors based on the way they develop new knowledge to approach the focal TIS: (1) actors from existing sectors that directly enter the focal TIS; (2) diversifying actors that enter the focal TIS but also its adjacent TISs; (3) actors dedicated to the innovation niche; and (4) actors that emerge and operate solely in the focal TIS.
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 | 0.002 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| 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