The Legitimation and Dissemination Processes of the Innovation System Approach
Bibliographic record
Abstract
A new approach in science policy making named the innovation system (IS) approach has been developed during the past three decades. Its primary goal is to better understand the processes through which scientific knowledge is produced and transferred to businesses to improve their competitiveness and develop national and/or regional economies. This approach has been adopted as an analytical framework and guideline for science policy making by numerous public sector organizations around the world. Using a case study of the Canadian and Québec public sectors, our research seeks to understand why the IS approach has gained the adherence of government employees and how it has been disseminated from international organizations down to regional civil servants. Findings show that adherence to the IS approach stems from the prestige of the Organisation for Economic Cooperation and Development (OECD) and its associated epistemic community, and from the cultural authority science exerts on government employees; these two factors bestow cultural authority onto the IS approach. The perceived scientific validity of the IS approach also leads government employees to consider its underlying economistic worldview as an unquestionable reality.
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How this classification was reachedexpand
Direct model labels (unvalidated)
Per-model category and study-design labels from the labeling rounds. They are machine output, unvalidated, and the disagreement between models ships as data. No study design here is MEDLINE-validated yet.
| Model arm | Categories | Study design | Confidence |
|---|---|---|---|
| gemma | Science and technology studies Domain: not available · Genre: Empirical About the Canadian research system: no · About a Canadian topic: no | Theoretical or conceptual | low |
| gpt | Science and technology studies Domain: not available · Genre: Empirical About the Canadian research system: no · About a Canadian topic: no | Theoretical or conceptual | medium |
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.073 | 0.130 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.007 | 0.004 |
| Science and technology studies | 0.010 | 0.078 |
| Scholarly communication | 0.022 | 0.021 |
| Open science | 0.003 | 0.014 |
| Research integrity | 0.009 | 0.010 |
| Insufficient payload (model declined to judge) | 0.007 | 0.001 |
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, unvalidatedLabeled directly by 2 models reading the full record.
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".