Innovative scaffolding: Understanding innovation as the disclosure of hidden affordances
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
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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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) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.012 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 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