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Record W4386244900 · doi:10.1057/s41599-023-02053-7

Benjamin Zephaniah’s dub poetry and its appeal to children: an ecocritical reading

2023· article· en· W4386244900 on OpenAlexaboutno aff
Alanoud Abdulaziz Alghanem

Bibliographic record

VenueHumanities and Social Sciences Communications · 2023
Typearticle
Languageen
FieldArts and Humanities
TopicPostcolonial and Cultural Literary Studies
Canadian institutionsnot available
Fundersnot available
KeywordsPoetryLiteraturePerformative utteranceRhetorical questionAnthropocentrismStyle (visual arts)Reading (process)ArtEcocriticismPoliticsPhilosophyAestheticsEnvironmental ethicsLinguisticsLaw

Abstract

fetched live from OpenAlex

Abstract Dub poetry is a form of performance poetry that originated with Black poets in Jamaica, Britain, and Canada. It is accompanied by rhythmical accentuation and gesticulation while performing in front of the audience. This study analyses the children’s dub poetry of the contemporary Black British poet Benjamin Zephaniah to highlight the unique characteristics that make his poetry more appealing to children. This is accomplished through an ecocritical reading of his early children’s poems, which highlight his biocentric attitude and revolutionary stance against any form of anthropocentrism. The study demonstrates that Zephaniah is an eco-writer who has an effective method of engaging children with his poetry in both its forms, oral and printed, through his performative techniques, rhetorical strategies, humorous style, and serious cosmopolitan topics in the belief that poetry is political and poets should be activists.

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)0.002
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: Empirical
Teacher disagreement score0.016
Threshold uncertainty score0.032

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.000
Science and technology studies0.0040.009
Scholarly communication0.0030.001
Open science0.0000.002
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0030.000

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 head0.170
GPT teacher head0.331
Teacher spread0.161 · 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
Published2023
Admission routes1
Has abstractyes

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