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Record W4249398645 · doi:10.32920/ryerson.14647983.v1

Toward a corporal architecture building about the body

2021· preprint· en· W4249398645 on OpenAlexaff
Aaron Hendershott

Bibliographic record

Venuenot available
Typepreprint
Languageen
FieldArts and Humanities
TopicFashion and Cultural Textiles
Canadian institutionsToronto Metropolitan University
Fundersnot available
KeywordsParallelsArchitectureWearable computerComputer scienceSpace (punctuation)Relation (database)Human–computer interactionArchitectural engineeringEngineeringVisual artsMechanical engineeringArtEmbedded system

Abstract

fetched live from OpenAlex

Throughout history the human body has formed the subject, defined the scale and proportion, and inspired the tectonic and symbolic language of architecture. While modern methods sought to codify the body for the purposes of standardized measurement, ergonomics, and the development of building codes, the implications derived from this approach have resulted in limited and standardized procedures for designing space in relation to the body. Recent advances in materials science, portable computing, and sensing technologies have opened up several possibilities for a deeper level of engagement and interaction between the body and its environment. As wireless communications continue to blur the boundaries between personal and global space, new dialogues are emerging that implicate both intimate material interfaces and wider organizational frameworks. Introducing the notion of ‘wearable space’, parallels between fashion and architecture are drawn as a means of re-examining the relationship between the body, clothing and architecture; the first, second and third skin of the body respectively.

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)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesScholarly communication, Insufficient 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: none
Teacher disagreement score0.887
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 studies0.0000.000
Scholarly communication0.0010.000
Open science0.0000.001
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0170.000

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 head0.075
GPT teacher head0.264
Teacher spread0.189 · 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.

Study designNot applicable
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
Published2021
Admission routes1
Has abstractyes

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