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Record W3158742336 · doi:10.1111/jade.12354

Tacit Knowledge in Painting: From Studio to Classroom

2021· article· en· W3158742336 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.

fundA Canadian funder is recorded on the work.
no affNo Canadian affiliation: this work is invisible to an affiliation-only frame.
No Canadian affiliation. An affiliation-only frame, the usual design, would never have seen this work. It is one of the works that make the case for inverting the frame.

Bibliographic record

VenueInternational Journal of Art & Design Education · 2021
Typearticle
Languageen
FieldArts and Humanities
TopicArt Education and Development
Canadian institutionsnot available
FundersFonds de Recherche du Québec-Société et CultureConcordia University of Edmonton
KeywordsPaintingTacit knowledgeContext (archaeology)Construct (python library)Class (philosophy)Action (physics)Visual artsAction researchEmbodied cognitionPsychologyMathematics educationComputer scienceArtKnowledge managementArtificial intelligence

Abstract

fetched live from OpenAlex

Abstract This article discusses research that employed practice‐led and action research methods to study the tacit knowledge of painting practice and its application to teaching. Polanyi’s theory of tacit knowledge is used to analyse the non‐verbal, experience‐based knowledge of painting to construct a discursive relationship between the dual practices of painting and teaching. The research was undertaken in the context of a twelve‐week class in landscape painting for adults in a non‐profit art school. Within the context of the class, a series of paintings was created and documented. By analysing the focal and subsidiary knowledge of the painting processes, several distinct patterns of action and thinking emerged. These patterns were synthesised into three modes of thinking that integrate the mind, body and materials. The outcome of the study is a preliminary model that describes painting as a dynamic multi‐modal thinking process, integrating visual perception, material actions and expressive ways of thinking. The discussion includes a detailed description of the research methods, the data analysis, the application in teaching, and the embodied nature of cognition in the painting process.

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)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.295
Threshold uncertainty score0.998

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0030.000

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 head0.047
GPT teacher head0.314
Teacher spread0.266 · 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