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Record W2912466789 · doi:10.1145/2630099

Proceedings of the Workshop on Computational Aesthetics

2014· paratext· en· W2912466789 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.

aboutThe title or abstract carries a Canadian signal from the geographic lexicon.
no affNo Canadian affiliation: this work is invisible to an affiliation-only frame.
No Canadian affiliation. An affiliation-only frame, the usual design, would never have seen this work. It is one of the works that make the case for inverting the frame.

Bibliographic record

Venuenot available
Typeparatext
Languageen
FieldNeuroscience
TopicAesthetic Perception and Analysis
Canadian institutionsnot available
Fundersnot available
KeywordsSketchAnimationRendering (computer graphics)Computer scienceComputer animationHuman–computer interactionComputer facial animationThe artsComputer graphics (images)MultimediaArtificial intelligenceVisual artsAlgorithmArt

Abstract

fetched live from OpenAlex

Expressive is the joint symposium on Computational Aesthetics, Non-Photorealistic Animation and Rendering, and Sketch-Based Interfaces and Modeling. Expressive 2014 is the fourth annual Expressive event and we have returned to Vancouver, where the first Expressive was also held. Expressive's three subconferences have distinct but related agendas. Computational Aesthetics bridges the analytic and synthetic by integrating aspects of computer science, philosophy, psychology, and the fine, applied, and performing arts. CAe seeks to facilitate both the analysis and the augmentation of creative behaviors. Non-Photorealistic Animation and Rendering is concerned with computational techniques for visual communication; such techniques usually generate imagery and motion which is expressive, rather than photorealistic, although possibly including realistic elements. The goal of the Sketch-Based Interfaces and Modeling symposium is to explore the models, algorithms, and technologies needed to enable effective sketch-based interfaces. SBIM investigates novel methods for classification and recognition of hand-drawn shapes, and ways of using these techniques for creating or editing text, mathematics, and 3D shapes.

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)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesInsufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.408
Threshold uncertainty score0.997

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0040.004

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 head0.036
GPT teacher head0.291
Teacher spread0.256 · 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

Quick stats

Citations15
Published2014
Admission routes1
Has abstractyes

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