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Record W4394940758 · doi:10.33137/ic.v37i1.42109

Letting Silence Speak: Licia Canton’s The Pink House and Other Stories

2023· article· en· W4394940758 on OpenAlexaffvenue
Lianne Moyes

Bibliographic record

VenueItalian Canadiana · 2023
Typearticle
Languageen
FieldArts and Humanities
TopicContemporary Literature and Criticism
Canadian institutionsUniversité de Montréal
Fundersnot available
KeywordsSilenceArtVisual artsAesthetics

Abstract

fetched live from OpenAlex

As scholars and reviewers of Licia Canton’s The Pink House and Other Stories have pointed out, certain characters recur across the cycle of stories and certain events are retold from different perspectives. This is especially evident, I argue, in the series of stories related to a traumatizing accident in which a woman writer is pinned between two car bumpers. These stories, interspersed throughout the collection, are linked not only by continuities in character and detail but also by forms of discontinuity: breaks in the frame of fiction, non-linear narrative practices, and shifts in time and point of view. In the wake of the accident, the woman writer – who is variously a narrator and a character – confronts writer’s block and the holes in her memory, as well as all the interruptions of daily life. The stories are a study in silence, a silence that is audible at the level of the story cycle, the narration of each story, and the enunciation of each character. By foregrounding gaps in understanding and moments in which the senses say more than words, these stories prompt readers to look for – to imagine – what cannot yet be known or spoken. They point toward states of emotion and ways of making sense of the experience that might otherwise remain locked in silence.

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)0.000
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: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.703
Threshold uncertainty score0.935

Codex and Gemma teacher scores by category

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

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 head0.035
GPT teacher head0.229
Teacher spread0.194 · 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
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

Citations0
Published2023
Admission routes2
Has abstractyes

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