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Record W265804220 · doi:10.29173/jjs92s

Educating the Creative Imagination:

2005· article· en· W265804220 on OpenAlexaffvenue
Austin Clarkson

Bibliographic record

VenueJournal of Jungian Scholarly Studies · 2005
Typearticle
Languageen
FieldArts and Humanities
TopicArtistic and Creative Research
Canadian institutionsYork University
Fundersnot available
KeywordsCreativityCurriculumThe artsPersonalityProcess (computing)PsychologyPedagogyVisual artsLanguage artsMathematics educationAestheticsArtPsychoanalysisSocial psychologyComputer science

Abstract

fetched live from OpenAlex

The description of the curriculum of a university course designed to engage the deep structure of the creative process. First presented in 1984, the course has been given to fine arts majors and candidates for the B.Ed. and M.Ed. degrees. The curriculum is summarized in twelve concepts and then described under the topics “Primordial Images,” “Personality Type and Creativeness,” “The Cycle of the Creative Process,” “Enter the Masks,” and “The Ritual Process and Community.” The responses of students indicate that the course filled a deeply felt need for learning the language of mythos. The consequences included the formation of an ongoing community that has stayed together for ten years, gives public shows of artwork, and provides workshops on creativity to school children and adults.

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: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.009
Threshold uncertainty score0.029

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0030.003
Scholarly communication0.0030.003
Open science0.0010.003
Research integrity0.0030.003
Insufficient payload (model declined to judge)0.0090.002

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 head0.092
GPT teacher head0.369
Teacher spread0.277 · 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
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

Citations9
Published2005
Admission routes2
Has abstractyes

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