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Record W4313313598 · doi:10.24043/isj.411

“we are still here holding fast”: Stillness in the wake of Hurricane Irma in Richard Georges’ Epiphaneia

2022· article· en· W4313313598 on OpenAlexvenueno aff
Barbara Gföellner

Bibliographic record

VenueIsland Studies Journal · 2022
Typearticle
Languageen
FieldSocial Sciences
TopicIsland Studies and Pacific Affairs
Canadian institutionsnot available
FundersAustrian Science Fund
KeywordsPoeticsAnthropoceneHistoryContext (archaeology)PoetryNarrativeArchipelagoSociologyEnvironmental ethicsLiteratureArchaeologyArtPhilosophy

Abstract

fetched live from OpenAlex

This article looks at Richard Georges’ poetry collection Epiphaneia, which is set on the British Virgin Islands in the aftermath of hurricane Irma. While Georges’ poems are placed amidst destruction, they go beyond narratives of devastation; instead, they articulate a poetics of livingness on the hurricane-struck island. This paper first draws out critical debates on the coloniality of climate that show the longue durée and complexity of a history of catastrophe in the Caribbean context. It addresses how Epiphaneia challenges one-sided discourses of island dependency and victimization by offering ways to perceive islands in the Anthropocene not as passive victims of catastrophes but as sites of living within what Glissant calls a chaos-world. This article then advances an ecopoetics of the archipelago in the wake of the hurricane. The various tensions held by the island after the storm will be traced through the word ‘still’: the ongoing violence of coloniality, still present; yet continuously resisted due to the island’s and islanders’ resilience and survival, still alive. This paper explores the poetics emerging from the island in the Anthropocene: What poetics are needed to sustain life after, and within, catastrophe? What does it mean to exist and move, still, on the island in the wake of the hurricane?

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 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)0.003
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesScience and technology studies
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.230
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0030.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.001
Science and technology studies0.0010.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0000.000

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 head0.043
GPT teacher head0.322
Teacher spread0.280 · 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 teacher head, not a consensus.

Study designQualitative
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
Published2022
Admission routes1
Has abstractyes

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