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Record W6992002564

Intelligible History, Negated Subjects: The Pressures of Intimacy in Michael Crummey's and Michael Winter's Historical Novels

2021· article· en· W6992002564 on OpenAlexaboutno aff

Bibliographic record

VenueDialnet (Universidad de la Rioja) · 2021
Typearticle
Languageen
FieldPsychology
TopicMemory, Trauma, and Commemoration
Canadian institutionsnot available
Fundersnot available
KeywordsArtificialityMainstreamNarrativeEPICFraming (construction)EmpireElement (criminal law)
DOInot available

Abstract

fetched live from OpenAlex

This article explores the implications of Lauren Berlant’s essay “Trauma and Ineloquence” (2001) regarding the therapeutic effects of narrative, also addressing the critical work of other theorists that have tackled the question of the artificiality of personal and historical narratives. By connecting Berlant’s insights into the notion of intelligibility with those of Roland Barthes, of testimony theorists and of other critics on ineloquence, my analysis aims to throw light on two historical novels that are articulated through intimate events that prevent certain speakers (Berlant’s negated subjects) from producing testimony and, therefore, participating in mainstream narratives and accessing justice. The novels River Thieves (2001) by Michael Crummey and The Big Why (2004) by Michael Winter hold the past as a scandal where carnal entanglements degrade the epic sweep of the events and show the disruptive effects of non-normative knowledges. Intimacy, thus defined as a lawless and shameful element in society, intersects with the economic and sexual pressures imported into the colonies by the empire (Povinelli 2006; Stoler 2006a). In this context, Newfoundland, in Canada, represents a colony where the ethics of European and American civilization are called into question.

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 score0.312
Threshold uncertainty score0.801

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)0.0010.000

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 head0.023
GPT teacher head0.275
Teacher spread0.252 · 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
Published2021
Admission routes1
Has abstractyes

Explore more

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