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Record W7010719613

Inter-Trans-Post Disciplinarity: Design Education in the Post-Industrial Era

2013· article· en· W7010719613 on OpenAlexaboutno aff

Bibliographic record

VenueIRIS Research product catalog (Sapienza University of Rome) · 2013
Typearticle
Languageen
FieldSocial Sciences
TopicMedieval and Early Modern Justice
Canadian institutionsnot available
Fundersnot available
KeywordsDisciplineWitnessDesign thinkingField (mathematics)Interpretation (philosophy)Product designDesign educationProduct (mathematics)
DOInot available

Abstract

fetched live from OpenAlex

Design appears to be a young academic field without a clear and defined domain, when it is compared to other disciplines which are historically stabilized and acquired a better recognized disciplinary theoretical apparatus. Design thinking has grown often touching far territories of knowledge and always placing its line of research on the track of innovation, between material and immaterial, product and service. 
\nAs Design turns out to produce knowledge, while giving an interpretation to reality and being strategic for innovation, the following paper raises some questions: is Design a discipline without any given field? If we consider it as an open structure, what geometric organization is drawing while connecting other fields? Along with the occurrence of the post-industrial society of knowledge, should we still call the discipline industrial design? What are its epistemological assumptions? 
\nFrom a didactic and research experience at Carleton University in Ottawa (Canada) with the development of a Master of Interdisciplinary Design, the paper is a theoretical contribution through an interdisciplinary net of references, to witness the accomplishment of design as an academic discipline while sketching its complex character in contemporary post-industrial societies. Far from reductionism, the research pursues a conception of knowledge as a non-hierarchical social construct, developed in an interactive collaborative 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.

How this classification was reachedexpand

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)0.005
metaresearch head score (Gemma)0.002
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.362
Threshold uncertainty score0.881

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0050.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0010.001
Scholarly communication0.0000.001
Open science0.0010.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0010.000

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 head0.093
GPT teacher head0.348
Teacher spread0.255 · 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 teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designQualitative
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

Citations0
Published2013
Admission routes1
Has abstractyes

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Same venueIRIS Research product catalog (Sapienza University of Rome)Same topicMedieval and Early Modern JusticeFrench-language works237,207