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Record W2898546154 · doi:10.2991/icsshe-18.2018.183

Prospect Analysis of Hand-drawn Animation under Digital Technology

2018· article· en· W2898546154 on OpenAlexaboutno aff
Shuzeng Li, Bing Liu, Xuefang He

Bibliographic record

VenueProceedings of the 2018 4th International Conference on Social Science and Higher Education (ICSSHE 2018) · 2018
Typearticle
Languageen
FieldComputer Science
TopicDigital Media and Visual Art
Canadian institutionsnot available
Fundersnot available
KeywordsComputer scienceComputer graphics (images)AnimationComputer animationHuman–computer interaction

Abstract

fetched live from OpenAlex

Interdisciplinary and cross-disciplinary integration can not only provide the viewers only give viewers a better way of behavioral experience but also bring new vitality into the industry. With the promotion of digital technology, 3D animation has developed rapidly and become the mainstream of the animation market Especially with its cool technology and real scenes; however, Disney, at one time was the king of twodimensional animation, now has closed the company in Japan, France, Canada and other countries. Disney now has to develop the 3D animation though purchasing Pixar animation.3D animation by purchasing Pixar Animation. Are hand-drawn animations going to be? The authors believe that, in the era of technology, the hand-drawn animation is not going to be eliminated, but it will be represented in another form -melting animation.

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: Theoretical or conceptual · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.661
Threshold uncertainty score0.765

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.002
Science and technology studies0.0000.002
Scholarly communication0.0010.001
Open science0.0010.000
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 head0.051
GPT teacher head0.343
Teacher spread0.292 · 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 designTheoretical or conceptual
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
Published2018
Admission routes1
Has abstractyes

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