MétaCan
Menu
← Back to cohort
Record W7131915145

INUIT3D : Exposition interactive virtuelle 3D sur le Web

2002· article· en· W7131915145 on OpenAlexvenueaboutno aff
Frank Corcoran, Jeffrey Demaine, Michel Picard, Louis-Guy Dicaire, John Taylor

Bibliographic record

VenueNPARC · 2002
Typearticle
Languageen
FieldEarth and Planetary Sciences
Topic3D Surveying and Cultural Heritage
Canadian institutionsnot available
Fundersnot available
KeywordsExhibitionExposition (narrative)Web siteNational museumWeb application3d model
DOInot available

Abstract

fetched live from OpenAlex

The Canadian Museum of Civilization and the National Research Council of Canada collaborated on the production of Inuit 3D, one of six inaugural Virtual Museum of Canada exhibitions launched in April 2001. Inuit 3D is an interactive exhibition in which visitors navigate through three exhibition halls and interactively examine twelve 3D models of objects from the Museum's collection. Introductory videos are presented at the entrance to each room. Pop-up text panels provide information on the objects, as well as on Inuit artists and the Canadian North. To produce Inuit 3D, three technologies developed for Web applications - VRML, 3D Scanning and QuickTime - were used. While these technologies enable museums to produce interactive web exhibitions, a number of significant technical and web design issues must be considered. The objective of this paper is to present an overview of Inuit 3D and to discuss technical and web issues encountered.

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)0.001
metaresearch head score (Gemma)0.001
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Software · Consensus signal: none
Teacher disagreement score0.066
Threshold uncertainty score0.221

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.001
Bibliometrics0.0010.001
Science and technology studies0.0010.001
Scholarly communication0.0030.001
Open science0.0010.002
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0660.009

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 head0.023
GPT teacher head0.190
Teacher spread0.166 · 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.

The models applied no category: nothing in the taxonomy fit this work.
Study designNot applicable
Domainnot available
GenreSoftware

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
Published2002
Admission routes2
Has abstractyes

Explore more

Same venueNPARC→Same topic3D Surveying and Cultural Heritage→French-language works237,207→