Bibliographic record
Abstract
Abstract The concept of innovation has entered a turbulent age. On the one hand, it is uncritically understood as ‘technological innovation’ and ‘commercialized innovation.’ On the other hand, ongoing research under the heading responsible research and innovation (RRI) suggests that current global issues require innovation to go beyond its usual intent of generating commercial value. However, little thought goes into what innovation means conceptually. Although there is a focus on enablingoutcomesof innovation processes to become more responsible and desirable, the technological and commercial nature of these processes is rarely questioned. For these reasons, this paper poses the following research question:what concept of innovation is implicitly taken up by the RRI discourse and what implications does this concept have for the societal purpose of RRI?As a first step, we analyze the extent to which the concept of innovation in the RRI literature is uncritically presupposed to be technological. Subsequently, we examine the diverse meanings innovation has had over time and argue that while innovation originally had a political connotation it is only recently restricted to the meaning of technological innovation. We go on to show that even though the concept of technological innovation can contribute to the societal purpose of RRI, this requires certain conditions that are difficult to guarantee. Consequentially, we argue that future research should explore alternative understandings of innovation that better enable the overall feasibility of the emerging frameworks of RRI.
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How this classification was reachedexpand
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 | 0.008 | 0.012 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.003 | 0.004 |
| Science and technology studies | 0.006 | 0.038 |
| Scholarly communication | 0.013 | 0.016 |
| Open science | 0.001 | 0.007 |
| Research integrity | 0.003 | 0.005 |
| Insufficient payload (model declined to judge) | 0.005 | 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, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), 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".