Innovative scaffolding: Understanding innovation as the disclosure of hidden affordances
Bibliographic record
Abstract
Much attention has been drawn to the cognitive basis of innovation. While interesting in many ways, this poses the threat of falling back to traditional internalist assumptions with regard to cognition. We oppose the ensuing contrast between internal cognitive processing and external public practices and technologies that such internal cognitive systems might produce and utilize. We argue that innovation is best understood from the gibsonian notion of affordance, and that many innovative practices emerge from the external scaffolding of cognitive processes. The public engageability that allows the disclosure of hidden affordances is not only –not even primarily– a property of cognitive products, but of cognitive processes. We elaborate on this claims by drawing on Dutilh Novaes’ account of formal languages as cognitive technologies and Hutto’s Narrative Practice Hypothesis. This paves the way to sketch some general principles on how to strategically seek for innovation by targeting hidden affordances.Keywords: Innovation, affordance, cognitive scaffolding.
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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 | 0.003 | 0.007 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.001 | 0.026 |
| Scholarly communication | 0.008 | 0.019 |
| Open science | 0.002 | 0.005 |
| Research integrity | 0.004 | 0.002 |
| Insufficient payload (model declined to judge) | 0.004 | 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 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".