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Record W2342576864 · doi:10.2307/27694740

Buckminster Fuller: Starting with the Universe

2009· article· en· W2342576864 on OpenAlexaboutno aff
Howard P. Segal

Bibliographic record

VenueJournal of American History · 2009
Typearticle
Languageen
FieldEngineering
TopicArchitecture, Modernity, and Design
Canadian institutionsnot available
Fundersnot available
KeywordsExhibitionMillerTimelineArt historyQuarter (Canadian coin)ArchitectureBachelorChecklistVisual artsHistoryArtSociologyArchaeologyPsychology

Abstract

fetched live from OpenAlex

Temporary exhibition, June 26–Sept. 21, 2008. 10,200 sq. ft. K. Michael Hays, adjunct curator of architecture at the Whitney Museum and professor of architectural theory at Harvard University; Dana Miller, associate curator. Traveling exhibition, Museum of Contemporary Art, Chicago, Ill., March 14-June 21, 2009. http://www.mcachicago.org/exhibitions/. A quarter century after his death, Buckminster Fuller (1895–1983) has finally received serious treatment in a remarkably rich exhibit. Drawing primarily from the forty-fiveton R. Buckminster Fuller Archive at Stanford University, the exhibit covers Fuller's entire life—greatly assisted by Fuller, who obsessively saved correspondence, notes, and sketches, beginning in 1907. The exhibit includes approximately 220 models, videos, photographs, and works on paper. The exhibit's catalog, edited by K. Michael Hays and Dana Miller, is beautifully designed and offers not only a checklist of the items displayed and handsome reproductions of many of them but also a timeline of Fuller's life and pertinent events beyond it; a lengthy bibliography of books, articles, and other writings by and about him; and several excellent essays, including a reprint of Calvin Tomkins' influential 1966 New Yorker profile.

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)0.000
metaresearch head score (Gemma)0.001
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.464
Threshold uncertainty score0.764

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0050.001
Scholarly communication0.0040.004
Open science0.0000.003
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.4640.106

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 head0.010
GPT teacher head0.183
Teacher spread0.173 · 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.

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

Citations9
Published2009
Admission routes1
Has abstractyes

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