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Record W3169371006 · doi:10.3917/sdd.013.0016

Le corps apprenant et la matérialité des choses : une recherche par le corps sur l’acte de design

2021· article· fr· W3169371006 on OpenAlexaff
Céline Monvoisin

Bibliographic record

VenueSciences du Design · 2021
Typearticle
Languagefr
FieldArts and Humanities
TopicPhilosophical and Theoretical Analysis
Canadian institutionsUniversité du Québec à Montréal
Fundersnot available
KeywordsHumanitiesArtPolitical sciencePhilosophy

Abstract

fetched live from OpenAlex

Dans le contexte de l’ère anthropocène, les préoccupations du design s’élargissent et complexifient son action. Elles repensent de fait les compétences et les connaissances nécessaires aux futurs designers. L’évolution pédagogique du design voit ainsi les approches expérientielles et matérielles de plus en plus présentes en conception, à travers la valorisation des étapes de transformation amenant à l’artefact. Au-delà des moyens et des stratégies pédagogiques mises en place, cet article ambitionne de regarder de plus près ce que le vécu et les modalités du corps qui apprend, dans toutes ses dimensions, peuvent nous dire sur l’acte de design et son enseignement. Cette compréhension par le vivant, en interaction avec son milieu éducatif, convoque sa corporalité, ses processus d’incorporation et de singularisation, en jeu dans le devenir-designer. Une recherche sur le corps qui apprend le design aujourd’hui semble propice pour saisir la réactualisation de la pratique face aux nouveaux enjeux de la culture matérielle.

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.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.007
metaresearch head score (Gemma)0.010
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: Theoretical or conceptual
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.011
Threshold uncertainty score0.049

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0070.010
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0000.001
Bibliometrics0.0020.002
Science and technology studies0.0060.031
Scholarly communication0.0110.009
Open science0.0010.006
Research integrity0.0030.003
Insufficient payload (model declined to judge)0.0110.001

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.

Opus teacher head0.333
GPT teacher head0.304
Teacher spread0.030 · 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

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designTheoretical or conceptual
Domainnot available
GenreEmpirical

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".

Quick stats

Citations1
Published2021
Admission routes1
Has abstractyes

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