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Record W4408060517 · doi:10.32803/rise.v7i2.3334

The Figure of the Fox in Leanne O'Sullivan's A Quarter of an Hour

2025· article· en· W4408060517 on OpenAlexaboutno aff
David Nisters

Bibliographic record

VenueReview of Irish Studies in Europe · 2025
Typearticle
Languageen
FieldArts and Humanities
TopicTheater, Performance, and Music History
Canadian institutionsnot available
Fundersnot available
KeywordsQuarter (Canadian coin)ArtHistoryArchaeology

Abstract

fetched live from OpenAlex

The poems that make up Leanne O’Sullivan’s collection A Quarter of an Hour conceptualise the sickness, coma and eventual recovery of her husband, Andrew, in terms of his journey through an ‘inflamed world’. Among the characters who offer guidance to Andrew on this journey, the figure of the fox takes on a particularly prominent role both on account of the frequency of its appearance throughout the collection and because she represents the ambiguous nature of Andrew’s coma as a liminal state that is situated ‘betwixt and between’ life and death. As an agent that is at once dangerous and supportive, the figure of the fox thus embodies a paradoxical condition, functioning as a signifier that brings together contradictory notions, most importantly the loss and retrieval of Andrew’s memory. With regard to her liminal role in Andrew’s journey from sickness to recovery, moreover, the animal crucially resembles the fox of the medieval bestiary tradition. Epitomised by its portrayal in such works as Isidore of Seville’s Etymologies or the Middle English Physiologus, the fox of the bestiary is, in fact, predominantly characterised as shifty, cunning and dangerous. Still, bestiaries also fulfilled an important mnemonic function in medieval textual cultures. Just like Andrew’s fox, therefore, the fox of the bestiary can be characterised as an ambiguous figure that is at once helpful and detrimental, thus providing an important historical frame of reference for considering the conceptualisation of Andrew’s sickness, coma and recovery in A Quarter of an Hour.

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)0.001
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: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Review · Consensus signal: none
Teacher disagreement score0.534
Threshold uncertainty score0.224

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.001
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
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 head0.036
GPT teacher head0.299
Teacher spread0.264 · 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.

The models applied no category: nothing in the taxonomy fit this work.
Study designNot applicable
Domainnot available
GenreReview

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".

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Citations0
Published2025
Admission routes1
Has abstractyes

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