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Record W2561345718 · doi:10.1093/pq/pqw005

The Philosophy of Design

2016· article· en· W2561345718 on OpenAlexaboutno aff
Elena Fell, Irina Vladimirovna Mirenkova, Tamara Vladimirovna Orlovskaya

Bibliographic record

VenueThe Philosophical Quarterly · 2016
Typearticle
Languageen
FieldEngineering
TopicDesign Education and Practice
Canadian institutionsnot available
Fundersnot available
KeywordsMetaphysicsEpistemologyPerspective (graphical)BeautyPhilosophy of designArchitectureOntologySociologyPoint (geometry)DesigntheoryPhilosophyAestheticsComputer scienceMathematicsWestern philosophyHuman–computer interactionArtArtificial intelligenceVisual arts

Abstract

fetched live from OpenAlex

Having created a significant body of research on various aspects of aesthetics (such as the aesthetics of nature and architecture) Glenn Parsons, Associate Professor of Philosophy at Ryerson University, brings together and systematizes philosophical findings relevant to design from the fields of ‘aesthetics, ethics, epistemology, metaphysics and the philosophy of technology’ (p. 2). The author uses the Modernist movement's legacy as a starting point for his philosophical investigations of these findings and tests the validity of various theoretical standpoints by comparing and contrasting them with the Modernist perspective on design, beauty, and functionality. The main text of the book begins with Parsons investigating the ontology of design in ch. 1 ‘What is Design?’ where he surveys various definitions of design and, navigating between Jones’ understanding of design as ‘the intentional creation of a new kind of thing’ (p. 9), Bamford's theory of singular and multiple designs and Davies’ discussion of site-specific architectural designs that take into account ‘the site itself… as a part of their work’ (p. 17), demonstrates the complexity of the concept of design.

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)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation 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 score0.982
Threshold uncertainty score0.506

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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 head0.037
GPT teacher head0.253
Teacher spread0.217 · 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 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
Published2016
Admission routes1
Has abstractyes

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