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Record W4412019446 · doi:10.1080/03050068.2025.2524915

From comparison to complexity: the trans-continuous path of poetry education

2025· article· en· W4412019446 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.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueComparative Education · 2025
Typearticle
Languageen
FieldPsychology
TopicCreativity in Education and Neuroscience
Canadian institutionsUniversity of Toronto
Fundersnot available
KeywordsPoetryPath (computing)Political scienceSociologyLiteratureComputer scienceArt

Abstract

fetched live from OpenAlex

This paper proposes a trans-continuous framework for rethinking poetry education, one that challenges and moves beyond traditional comparative models. Drawing on Chinese, Japanese, and English poetic traditions, it introduces trans-continuity as a theoretical lens for understanding how systems evolve through dynamic interaction, overlapping histories, and contextual adaptation. Rather than viewing global educational flows as linear or unidirectional, the paper highlights how cultural forms such as poetry emerge from interwoven continuities shaped by both affordance and adaptation. It critiques conventional dichotomies – such as East and West, global and local, original and borrowed – and emphasises context as the connective medium within complex systems. Through this lens, the paper re-examines Sadler's question on learning from ‘foreign’ systems, arguing that ‘foreignness’ emerges from shifting perspectives within a shared complex system. The study advocates a shift from comparison to complexity, viewing language, tradition, and culture as co-evolving strands in a dynamic trans-continuous web.

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: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.661
Threshold uncertainty score0.686

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

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 head0.103
GPT teacher head0.462
Teacher spread0.358 · 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