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Record W13777742

How one art educator combines the strengths from two educational systems, Chinese and Canadian, to develop a teaching philosophy

2002· dissertation· en· W13777742 on OpenAlexaboutno aff
Jing Tang

Bibliographic record

VenueActa tuberculosea et pneumologica belgica · 2002
Typedissertation
Languageen
FieldArts and Humanities
TopicArt Education and Development
Canadian institutionsnot available
Fundersnot available
KeywordsStudioVisual arts educationFine artArt methodologyThe artsPaintingVisual artsPedagogyPhilosophy of educationPlan (archaeology)Mathematics educationChinese artChinaSociologyContemporary artPsychologyHigher educationArtPerformance artArt historyPolitical science
DOInot available

Abstract

fetched live from OpenAlex

In this studio-based thesis, "How One Art Educator Combines the Strengths from Two Educational Systems, Chinese and Canadian, To Develop A Teaching Philosophy," combines several aspects of the author's studio practices and with her learning experiences as a Chinese student in Canadian fine arts program. This thesis shows the process of how the author improved her art-making abilities and how she developed her teaching philosophy and methods by using the education that she received from ceramics courses at a Canadian university as a link to her education in painting and drawing in China. At the same time, through qualitative research, the author uses her art-making, personal living and learning experiences as a research case in order to explore and gather truly first-hand data. The author shares her own experiences in art education and art-making in China and Canada to help the readers easily understand her theoretical rationale, an approach which is consistent with her belief that theory can result from actual practice.

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)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Science and technology studies, Scholarly communication, Insufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.470
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0020.000
Scholarly communication0.0010.000
Open science0.0010.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0040.000

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 head0.027
GPT teacher head0.271
Teacher spread0.244 · 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.

Study designNot applicable
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
Published2002
Admission routes1
Has abstractyes

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