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Record W1537286298 · doi:10.20360/g2d880

The Pedagogic Force of Ekphrastic Poetics

2006· article· en· W1537286298 on OpenAlexaffvenue
Kelly Young, Mahshid Farhoudi-Di Marco

Bibliographic record

VenueLanguage and Literacy · 2006
Typearticle
Languageen
FieldArts and Humanities
TopicVisual Culture and Art Theory
Canadian institutionsTrent University
Fundersnot available
KeywordsPoeticsStorytellingPoetryPaintingArtRepresentation (politics)LiteratureCurriculumThe artsVisual artsAestheticsSociologyNarrativePedagogyLawPolitical science

Abstract

fetched live from OpenAlex

This article is an exemplar of arts-based educational research that uses ekphrastic poetics as a vehicle for critically storytelling. Ekphrastic poetics is an art form dating back to Classical Greece that involves an act of poetic response to a visual form. Ekphrastic poetics is conceptualized as a curriculum and aesthetic text as poet Kelly Young responds to visual artist Mahshid Farhoudi-Di Marco’s series of paintings through interpretive practices. Interpretive practices involve building relationships with the visual forms through among other things, conditioned writing activities.

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)0.007
metaresearch head score (Gemma)0.015
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 score0.039

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0070.015
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0020.001
Science and technology studies0.0040.049
Scholarly communication0.0090.010
Open science0.0010.007
Research integrity0.0020.006
Insufficient payload (model declined to judge)0.0060.001

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 head0.013
GPT teacher head0.270
Teacher spread0.257 · 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

Citations2
Published2006
Admission routes2
Has abstractyes

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