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Record W4221150387 · doi:10.4000/ilcea.16532

Guests, Hosts and Parasites: Deviant Hospitality in Katherena Vermette’s The Break

2023· article· en· W4221150387 on OpenAlexaboutno aff
Claire Omhovère

Bibliographic record

VenueILCEA · 2023
Typearticle
Languageen
FieldArts and Humanities
TopicFrench Historical and Cultural Studies
Canadian institutionsnot available
Fundersnot available
KeywordsHospitalityBiologyZoologySociologyGeographyTourismArchaeology

Abstract

fetched live from OpenAlex

“The Break” is the name given to a strip of empty land in a poor neighbourhood on the outskirts of Winnipeg, the provincial capital of Manitoba and the setting of Katherena Vermette début novel. It is also the place where, on a winter’s night, a group of assailants caught up with a thirteen-year-old Indigenous girl and raped her within earshot of the neighbouring houses. The novel’s choral composition relies on alternating viewpoints to throw light on the assault’s circumstances, the factors that turned into a catalyst for the rape, and a combination of facts which, even as it is slowly revealed, blurs the line between victim and perpetrator. The crime and its antecedents are initially envisaged from within the Indigenous and Métis community, but the characters’ lives are also replaced in the wider context of the colonial history that has shaken the foundations of home and homeland for Canada’s First Nations. In The Break, storytelling and story listening both necessitate the taking into account of entropy, i.e. the parasitic interference or white noise caused by transmission, especially when vast distances separate the teller from the audience invited to listen in. To understand the various regimes and functions of hospitability in Vermette’s novel, the essay will be relying on the theory of communication Michel Serres develops while relying on the paradigm of the parasite, an organism that feeds on another without giving anything in return, so as to modelize relations between strangers who occupy the same space without sharing it.

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: Not applicable
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.284
Threshold uncertainty score0.338

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 head0.034
GPT teacher head0.219
Teacher spread0.185 · 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 routes1
Has abstractyes

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