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Record W4406988661 · doi:10.4324/9781003509653-25

The DNA manifesto – its impact and challenges for design education

2025· book-chapter· en· W4406988661 on OpenAlexaff
Martin Racine

Bibliographic record

Venuenot available
Typebook-chapter
Languageen
FieldDecision Sciences
TopicInterdisciplinary Research and Collaboration
Canadian institutionsConcordia University
Fundersnot available
KeywordsManifestoComputer sciencePolitical scienceLaw

Abstract

fetched live from OpenAlex

The first part of this chapter presents a research-creation project that took the form of an interactive exhibition named ‘DNA-The Future Life of Objects’. Based on the metaphor of a scientific research lab, the exposition presents a manifesto linking the world of objects to the world of life forms, hence the reference to DNA. While establishing a parallel between the system of objects and the world of living organisms, this manifesto poses a critical perspective concerning our relation with objects and raises fundamental questions about the notions of durability, environmental degradation, overconsumption and emotional attachment; it also anticipates the potential repercussion of connected objects and artificial intelligence on our private lives. In the second part of the chapter, the author looks at the impacts and challenges of applying the principles of the DNA manifesto to design education. If nature becomes the prevailing model to follow, design education needs to integrate with a much more acute perspective the fundamental principles of biology – the ‘science of life’ – and to focus the foundation of the design thinking process toward biomimicry. Recent explorations show that such a shift causes major impacts and ethical challenges at many levels for design curricula.

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)0.002
metaresearch head score (Gemma)0.002
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.010
Threshold uncertainty score0.040

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0020.009
Scholarly communication0.0070.005
Open science0.0010.002
Research integrity0.0020.003
Insufficient payload (model declined to judge)0.0100.003

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 head0.241
GPT teacher head0.474
Teacher spread0.233 · 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 designNot applicable
Domainnot available
GenreOther

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
Published2025
Admission routes1
Has abstractyes

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Same topicInterdisciplinary Research and CollaborationFrench-language works237,207