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Record W2111911734 · doi:10.5539/ach.v6n2p16

Animation Program History in Fine ART Schools of China

2014· article· en· W2111911734 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.

venuePublished in a venue whose home country is Canada.
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

VenueAsian Culture and History · 2014
Typearticle
Languageen
FieldComputer Science
TopicDigital Media and Visual Art
Canadian institutionsnot available
Fundersnot available
KeywordsAnimationChinaQuality (philosophy)Fine artComputer animationVisual arts educationVisual artsSubject (documents)MultimediaSociologyComputer sciencePolitical scienceArtThe artsWorld Wide WebLaw

Abstract

fetched live from OpenAlex

The animation industry of China has developed windingly almost 50 years in 20 century, finally obtained the eruption -like growth in the beginning 21st century. Talent cultivation is one of the important elements of Chinese Animation industry, thus animation education also obtained the stimulation. More and more fine art schools began to have animation program after 2000. This paper studies a brief history of animation professionals in Fine Art Schools of China, and the relationship between fine art schools and animation subject. However the number of schools expanded, but the quantity cannot guarantee quality of education, most Fine art schools are relying on the University-Industry Collaboration teaching mode, but in the fact beneath the brilliant achievements, fine art schools need to sum up teaching experience and education theory different from animation industry. The period of Animation program expanding in Fine Art Schools is almost over, but the period for education quality is coming. How to improve the animation education quality become the most important situation to all Fine Art Schools have animation program.

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 categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Other · Consensus signal: none
Teacher disagreement score0.954
Threshold uncertainty score0.285

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)0.0000.000

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 head0.011
GPT teacher head0.231
Teacher spread0.220 · 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