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Record W2995548499 · doi:10.37113/ideaj.vi0.243

Growing a Discipline

2019· article· en· W2995548499 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

VenueIDEA JOURNAL · 2019
Typearticle
Languageen
FieldArts and Humanities
TopicArchitecture, Design, and Social History
Canadian institutionsUniversité de Montréal
Fundersnot available
KeywordsDisciplineInterior designStrengths and weaknessesVariety (cybernetics)Context (archaeology)Engineering ethicsArchitectureDesign studioStudioSociologyOrder (exchange)PedagogyComputer scienceMathematics educationArchitectural engineeringEngineeringEpistemologyPsychologySocial scienceVisual arts

Abstract

fetched live from OpenAlex

A variety of competing pedagogical orientations have accompanied the evolution of university-based Interior Design teaching. A review of relevant literature indicates that a range of pedagogical models are available, each rooted in a distinct design discipline such as architecture and industrial design. A new undergraduate Interior Design program is described, in order to demonstrate an approach to integrating theory and practice. Diverse teaching influences on the development of a course of study in Interior Design in the context of an established multi-disciplinary design faculty are illustrated. The new program’s pedagogical approach is demonstrated through an examination of the first and second year studio subjects. The paper concludes with a summary of the program’s strengths and weaknesses, and suggestions are made to promote ways to integrate theory and practice through broadening the theoretical discourse that could allow Interior Design to be explored through other relevant and critical social disciplines.

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: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.931
Threshold uncertainty score0.997

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 studies0.0010.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0040.000

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 head0.017
GPT teacher head0.220
Teacher spread0.203 · 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