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Record W4242176218 · doi:10.1353/esc.2015.0045

Postcolonialism

2015· article· en· W4242176218 on OpenAlexvenueaboutno aff
Gillian Whitlock

Bibliographic record

VenueEnglish studies in Canada · 2015
Typearticle
Languageen
FieldArts and Humanities
TopicPostcolonial and Cultural Literary Studies
Canadian institutionsnot available
Fundersnot available
KeywordsPostcolonialism (international relations)HybridityOrientalismSociologySubject (documents)EmpireThe artsPostcolonial literatureSyncretism (linguistics)DiasporaReading (process)Media studiesHistoryColonialismLiteratureGender studiesVisual artsArtPolitical scienceLawAnthropologyLinguisticsPhilosophyLibrary science

Abstract

fetched live from OpenAlex

Postcolonialism Gillian Whitlock, Professor Who would have thought that the benign commonwealth literature project would break out into such a confronting and necessary critical practice in the 1980s, drawing Canadian, Australian, African, Indian, and Caribbean writing into a dynamic comparative framework? Too often this is characterized in terms of its starry trio of critics—Bhabha, Said, and Spivak—and the compelling logic of “writing back” to empire. But what really changed the discipline was the enduring necessity to read more expansively beyond the nation, to pursue a critical literacy where the imprints of colonization could be read across new literatures and a new transnational literary scene. Specialist journals, curricula, and an infrastructure of publishers and bookshops rapidly expanded and, of course, numerous reading groups tussled with the new critical language of hybridity, orientalism, and syncretism. The legacy of this is now diverse, dispersed, and contested. Nevertheless postcolonialism changed the subject, and decisively. Gillian Whitlock, Professor School of Communication and Arts University of Queensland Copyright © 2015 Association of Canadian College and University Teachers

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)0.001
metaresearch head score (Gemma)0.002
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: Other · Consensus signal: Other
Teacher disagreement score0.201
Threshold uncertainty score0.400

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0090.010
Scholarly communication0.0040.002
Open science0.0000.003
Research integrity0.0010.003
Insufficient payload (model declined to judge)0.0150.002

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 head0.104
GPT teacher head0.267
Teacher spread0.163 · 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
GenreOther

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 routes2
Has abstractyes

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