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Design made me do it

2017· article· fr· W2330058514 on OpenAlex
Jean-François Lacombe

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

VenueInterfaces numériques · 2017
Typearticle
Languagefr
FieldComputer Science
TopicCultural Insights and Digital Impacts
Canadian institutionsUniversité du Québec en Outaouais
Fundersnot available
KeywordsHumanitiesPhilosophyPolitical science

Abstract

fetched live from OpenAlex

L’implantation de nouveaux paradigmes interactifs conditionne notre façon d’entrer en relation avec la technologie. Or, ces modèles interactifs perdurent souvent à travers l’évolution des systèmes subséquents. Dès lors, l’importance d’inclure une dimension éthique et historique dans l’enseignement du design interactif devient primordiale afin d’assurer des choix réfléchis, informés et pertinents. Tout d’abord, l’idée que les designers interactifs sont guidés par une panoplie de motifs internes et externes lors de l’élaboration de leurs systèmes et projets sera abordée. Ensuite, nous verrons comment ces mêmes projets influencent notre façon d’entrer en relation avec la machine et le réseau et par extension, comment ces mêmes projets peuvent influencer nos relations au sein de la sphère sociale. Finalement, nous démontrerons comment, à partir du modèle sartrien, une dimension éthique peut être insérée dans les cursus et les programmes de design interactif afin de contribuer à influencer positivement les choix conceptuels effectués par les designers d’interface.

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 categoriesMeta-epidemiology (narrow), Scholarly communication, Insufficient 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: none
Teacher disagreement score0.820
Threshold uncertainty score1.000

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 studies0.0010.001
Scholarly communication0.0190.011
Open science0.0020.001
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.001

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 head0.364
GPT teacher head0.371
Teacher spread0.007 · 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