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Record W2026708091 · doi:10.1353/ari.2013.0016

Postcolonial Trauma in David Bergen’s The Time in Between

2013· article· en· W2026708091 on OpenAlexaff
Vikki Visvis

Bibliographic record

VenueAriel · 2013
Typearticle
Languageen
FieldArts and Humanities
TopicContemporary Literature and Criticism
Canadian institutionsUniversity of Toronto
Fundersnot available
KeywordsOrientalismNarrativeReflexivityCultural studiesResistance (ecology)Representation (politics)PsychoanalysisRelation (database)VirtueSociologyHistoryLiteratureEpistemologyPsychologyAnthropologyPhilosophyArtPolitical science

Abstract

fetched live from OpenAlex

Studies of postcolonial trauma investigate Cathy Caruth’s contention that traumatic psychopathology, by virtue of its universality, can bridge cultural difference. David Bergen’s The Time in Between tests this theory in relation to the Vietnam War. Bergen’s novel recognizes trauma as an effective, though limited, vehicle of cultural reconciliation that ultimately needs to be supplemented by further discursive resistance. Although the novel’s treatment of trauma resists Orientalist representations of Vietnam, forms of parallelism point to tacit cultural fissures, which are countered through narrative self-reflexivity and the frustration of what Edward Said terms the “exteriority of representation.”

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 machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.003
metaresearch head score (Gemma)0.005
Version: metacan-v3-hybrid-931329e0061cValidation 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: none
Teacher disagreement score0.011
Threshold uncertainty score0.049

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0030.005
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0100.033
Scholarly communication0.0090.006
Open science0.0010.004
Research integrity0.0050.006
Insufficient payload (model declined to judge)0.0030.000

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 head0.016
GPT teacher head0.210
Teacher spread0.193 · 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 source (direct Gemma or distilled Codex), 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
Published2013
Admission routes1
Has abstractyes

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