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Record W2031464969 · doi:10.7559/citarj.v6i1.126

The replacement of geography by standards and what to do about it

2014· article· en· W2031464969 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

VenueJournal of Science and Technology of the Arts · 2014
Typearticle
Languageen
FieldPsychology
TopicColor perception and design
Canadian institutionsUniversity of Toronto
Fundersnot available
KeywordsAnthropometry3d scanningHumanityScale (ratio)Human geographyWearable computerComputer scienceHuman–computer interactionAestheticsData scienceSociologyArtificial intelligenceGeographyPolitical scienceSocial scienceLawArtAnthropology

Abstract

fetched live from OpenAlex

Anthropometry has historically involved “men of science” carefully measuring and noting down the dimensions of human bodies. Anthropometry is invoked to emphasize the importance of measuring the world at human scale, to achieve better economies of scale in making human-sized objects, and to make arguments and predictions about ideal states of humanity. This paper presents two projects that parse relationships between human bodies and measurement. Scanning Hands explores low-end 3D scanning as a probe and catalyst for discussion of the history of anthropometry as it relates to current 3D scanning practices. Non-Standard Bodies, an interactive wearable sculpture, tackles the imposition of remote standards on individual bodies. The goals of this paper are twofold: to explore systems of body measurement and their often-ignored ramifications; and to introduce an idea, the replacement of geography by standards, as a way of positioning and generalizing such measurement activities.

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)0.003
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: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.696
Threshold uncertainty score0.816

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0030.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.002
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 head0.009
GPT teacher head0.308
Teacher spread0.299 · 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