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Record W4416887744 · doi:10.5195/names.2025.2830

Names as Poetic Terms of Art

2025· article· en· W4416887744 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

VenueNames · 2025
Typearticle
Languageen
FieldSocial Sciences
TopicNames, Identity, and Discrimination Research
Canadian institutionsUniversity of Toronto
FundersUniversity of Pittsburgh
KeywordsPoetryPoeticsReferentMeaning (existential)Reflexive pronounIdentity (music)Mode (computer interface)Value (mathematics)

Abstract

fetched live from OpenAlex

This article provides a sustained close reading and literary onomastic analysis of Derek Walcott’s “Sainte Lucie”, arguing that the poem presents names as poetic terms of art: sites of mimicry, misnomer, and transformation. The poem confronts the philosophical and linguistic instability at the heart of naming. By weaving together multilingual references, colonial and postcolonial toponyms, oral traditions, and etymological slippages, names are shown to act not as referential tools but as creative misrepresentations. Resisting referential realism, Walcott presents a name not as a mirror of the world but as a poetic artifact with an aesthetic value derived from its capacity to generate meaning beyond its referent. Ultimately, the article shows that Walcott’s poetics do not seek to repair the inherent aporia between name and referent but to embrace it as the very grounds of art. In contrast to dominant philosophical theories (from Frege to Russell to Searle), Walcott’s approach recasts the name as a transformative site of memory, loss, and aesthetic form and naming as a mode of poetic authorship that sustains cultural identity amidst historical dislocation. Within this view, naming becomes a mode of poiesis.

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)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: none
GenreCandidate signal: Other · Consensus signal: none
Teacher disagreement score0.712
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
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 head0.018
GPT teacher head0.407
Teacher spread0.390 · 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