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Record W2314929944 · doi:10.3828/qs.2015.8

Body in Transit, Body in Transition: Resignifying Colonial Wounds in Roch Carrier’s <i>La Guerre, Yes Sir!</i>

2015· article· en· W2314929944 on OpenAlexaboutno aff
Tara Smithson

Bibliographic record

VenueQuebec Studies · 2015
Typearticle
Languageen
FieldSocial Sciences
TopicCanadian Identity and History
Canadian institutionsnot available
Fundersnot available
KeywordsColonialismPossession (linguistics)DecolonizationHumanitiesNarrativeAutonomyPower (physics)NationalismArtSociologyHistoryPolitical scienceLiteratureLawPhilosophyPolitics

Abstract

fetched live from OpenAlex

Québec’s status as a potentially colonial space that underwent a process akin to decolonization during the Révolution tranquille has generated much critical attention in recent years, as scholars consider how Québec’s liberatory struggles resonate with other narratives of decolonization around the globe. Roch Carrier’s first and most renowned novel, La Guerre, Yes Sir! (1968), deserves particular attention as a literary work that interrogates Québec’s colonial dynamics. While scholars have emphasized the images of the body in Carrier’s work, with particular consideration of La Guerre, Yes Sir!’s carnivalesque elements, no study thus far has focused on how shifting depictions of individual bodies over time and space allegorize transformations of an imagined national body. In this article, I argue that La Guerre, Yes Sir! dramatizes Québec’s struggle to regain possession of and define its national body, as represented by the villagers’ desire to recover physical and symbolic possession of the corpse of the fallen soldier, Corriveau. Specifically, I examine Carrier’s engagement with familiar tropes of contemporaneous anticolonial writing, such as the wounded or cannibalized body, demonstrating the community’s power to ultimately reinterpret them. This article concludes by considering how the novel’s final scenes critique the nationalism that seems a prerequisite for the villagers’ assertion of autonomy.

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: Qualitative · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.694
Threshold uncertainty score0.692

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
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 head0.041
GPT teacher head0.308
Teacher spread0.267 · 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 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

Citations0
Published2015
Admission routes1
Has abstractyes

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