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Record W1965929988 · doi:10.1145/1408626.1408628

Facts through fiction

2008· article· en· W1965929988 on OpenAlexaboutno aff
Hans Westman

Bibliographic record

VenueACM SIGGRAPH Computer Graphics · 2008
Typearticle
Languageen
FieldEarth and Planetary Sciences
Topic3D Surveying and Cultural Heritage
Canadian institutionsnot available
Fundersnot available
KeywordsExhibitionSubject (documents)Visual artsSection (typography)Computer scienceLibrary scienceArt historyMedia studiesComputer graphics (images)HistorySociologyArt

Abstract

fetched live from OpenAlex

Welcome to the 2008 SIGGRAPH conference and to the August e-quarterly issue of "Computer Graphics". I am excited about the submissions in regards to both the breadth in content as well as the geographic location of the contributors, which is an indicator of how truly global the SIGGRAPH organization is. Murat Kurt and Muhammed Gökhan Cinsdikici at the International Computer Institute, Ege University, Turkey have written a paper on "bidirectional reflectance distribution functions" (BRDFs) and approaches to solving memory and measurement noise problems. Jonathan Amakawa, Instructor at The Art Institute of Pittsburgh, delves into preserving facts through fiction by researching the use of video game technology to archive Japanese culture as illustrated in his article "Exploring the World of 16th Century Japanese Castles and Samurai in Real-time 3D". VisFiles brings us another interesting article by way of Norway and Austria, this time about illustrative visualization, discussing digital and traditional techniques and technologies. Canadian Neil Schneider takes up the subject of popularizing 3D Stereoscopics in the "Members at work" section and has submitted a two part interview with the world renowned Dr. Robert Cailliau, Co-Developer of the WWW. Following the first Antics article written by founder Philip Swinstead, Brad Kolacinski has submitted the second in a series of three entitled "If You Animate It, They will Come", which presents examples of how 3D is being used in the classroom. Last but not least, don't forget to read the "calls for participation" by Rick Barry for the SIGGRAPH 2008 SpaceTime, Second Life Exhibition and by Anna Ursyn for The History of Computer Graphics and Digital Art Project.

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 categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.014
Threshold uncertainty score0.584

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
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 head0.050
GPT teacher head0.226
Teacher spread0.175 · 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 designObservational
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
Published2008
Admission routes1
Has abstractyes

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