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Record W591450112

Prospect : panoramic photographs

2012· book· en· W591450112 on OpenAlexaboutno aff
Thomas R. Schiff

Bibliographic record

VenueDamiani eBooks · 2012
Typebook
Languageen
FieldArts and Humanities
TopicPhotography and Visual Culture
Canadian institutionsnot available
Fundersnot available
KeywordsWrightVisual artsLas vegasArtAppealArchitectureArt historyQuarter (Canadian coin)MemphisPianoHistoryArchaeologyLawTourism
DOInot available

Abstract

fetched live from OpenAlex

PROSPECT For more than a quarter century, artist Thomas Schiff has used a panoramic camera to explore the hard edged and technologically refined man-made landscape worldwide. Schiff recasts the built environment, reorders its purist forms into atmospheric com-positions befitting the illusionism of Piranesi. From the vernacular movie theatres of the 19305 to libraries, private residences, universities, and performance halls, PROSPECT features Schiff's quintessentially American work--kaleidoscopic and vibrantly colored large format prints that offer up a new way of seeing and interpreting the architectural landscape. Counted among the more than 200 photographs in PROSPECT are buildings by the titans of architecture: Nor-man Foster, Frank Lloyd Wright, Louis Kahn, Zaha Hadid and Renzo Piano. From visionary works by Thomas Jefferson to spectacular hotel resort developments, museums and the public spaces that define the fantasy skyline of Las Vegas, Schiff has logged hundreds of thousands of miles across the United States in rediscovering this rich repository of buildings. In PROSPECT, Schiff's steady and unrestrained visual language forcefully combines in a remarkable corpus that will broadly appeal to architects, designers, photographers, filmmakers and those interested in the visual arts. De-signed by Los Angeles-based Waxel, the book also features a compel-ling new essay by noted writer, Michael Speaks.

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 categoriesMeta-epidemiology (narrow), Insufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.739
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0000.000
Science and technology studies0.0010.001
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0040.001

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 head0.034
GPT teacher head0.219
Teacher spread0.185 · 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
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
Published2012
Admission routes1
Has abstractyes

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