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Record W2069145563 · doi:10.5130/portal.v10i2.2971

'After me fellow caïcaï you': Eating the Other/The Other Eating

2013· article· en· W2069145563 on OpenAlexaboutno aff
Karin Speedy

Bibliographic record

VenuePORTAL Journal of Multidisciplinary International Studies · 2013
Typearticle
Languageen
FieldSocial Sciences
TopicIsland Studies and Pacific Affairs
Canadian institutionsnot available
FundersMacquarie University
KeywordsCannibalismColonialismIndigenousCivilizationIdeologyHistoryEthnologyLiteratureSociologyArtPoliticsEcologyPolitical scienceArchaeologyLaw

Abstract

fetched live from OpenAlex

When it comes to European descriptions of the Other, the act of cannibalism has long been synonymous, to the Western imagination at least, with primitivism. As such, it often operates as a boundary line between the savage and the civilised. The spectre of the Kanak “anthropophages” of New Caledonia and the New Hebrides (Vanuatu) is ever-present in the writings of Georges Baudoux, whose fascination with cannibalism reflects the 19th-century colonial preoccupation with racial hierarchies and the demonization of the indigenous Other. Indeed, in his Légendes canaques, Baudoux’s representations of Kanak cannibalism are typical of the colonial literary genre – overly bloodthirsty, sensationalised and designed to distance the “instictive savages” or “cannibal animals” from the “rational” (read “superior”) colonizers. While Baudoux does not abandon this discourse in other stories, it is interesting to see how it is nuanced in the case of the métis (Kanak-European) protagonist of Jean M’Baraï. This paper explores the representations of the Other eating, including eating the Other, in Baudoux’s work, focusing particularly on the actions/reactions/reflexivity of Jean M’Baraï. To what extent can we see this character as a vehicle for conflicting colonial discourses on the métis as either “deviant degenerate” or the “great hope” for the future “civilization” of the colonized “race”? And where does Baudoux place himself in this clash of ideologies?

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 categoriesScience and technology studies
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.358
Threshold uncertainty score1.000

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 studies0.0010.001
Scholarly communication0.0000.000
Open science0.0010.000
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 head0.034
GPT teacher head0.340
Teacher spread0.306 · 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.

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

Citations5
Published2013
Admission routes1
Has abstractyes

Explore more

Same venuePORTAL Journal of Multidisciplinary International StudiesSame topicIsland Studies and Pacific AffairsFrench-language works237,207