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Record W1515318643 · doi:10.15366/ria2013.7.002

Innovative scaffolding: Understanding innovation as the disclosure of hidden affordances

2023· article· es· W1515318643 on OpenAlex

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.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueRevista Iberoamericana de Argumentación · 2023
Typearticle
Languagees
FieldNeuroscience
TopicEmbodied and Extended Cognition
Canadian institutionsYork University
Fundersnot available
KeywordsAffordanceHumanitiesSociologyPsychologyArtCognitive psychology

Abstract

fetched live from OpenAlex

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.

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 imitation

Not 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.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: Theoretical or conceptual
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.307
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.012
Science and technology studies0.0010.001
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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.

Opus teacher head0.060
GPT teacher head0.323
Teacher spread0.263 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it