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Record W2097106305

The Transnational Turn in Australian Literary Studies

2009· article· en· W2097106305 on OpenAlexaboutno aff
Michael Jacklin

Bibliographic record

VenueResearch Online (University of Wollongong) · 2009
Typearticle
Languageen
FieldArts and Humanities
TopicDigital Humanities and Scholarship
Canadian institutionsnot available
Fundersnot available
KeywordsMulticulturalismMainstreamEnthusiasmLiterary criticismCanadian literatureSociologyWorld literatureLiteratureArabicHistoryMedia studiesPolitical scienceLinguisticsLawArtPsychologyPedagogyPhilosophy
DOInot available

Abstract

fetched live from OpenAlex

A significant number of critical and analytical articles by leading scholars in Australian literary studies have recently drawn attention to the transnational dimensions of the discipline. Amongst these calls for the internationalising of Australian literary studies, however, multicultural literature appears to have been given short shrift. This article traces the mainstream enthusiasm for transnational research, notes the work of critics who have identified aspects of multicultural literature that have been overlooked in Australia, and then provides examples of two further areas of transnational literary production that have been critically neglected. The journal Kalimat which published in Arabic and English and the online Spanish-language newsletter Hontanar are discussed as illustrative of this transnational literature, as are works by Yahia al-Samawi, Juan Garrido-Salgado and Mario Licon Cabrera, overseas-born poets now residing in and writing from Australia.

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)0.007
metaresearch head score (Gemma)0.009
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 score0.032
Threshold uncertainty score0.087

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0070.009
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0030.005
Science and technology studies0.0160.029
Scholarly communication0.0150.009
Open science0.0010.015
Research integrity0.0020.004
Insufficient payload (model declined to judge)0.0040.000

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 head0.217
GPT teacher head0.361
Teacher spread0.144 · 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

Citations9
Published2009
Admission routes1
Has abstractyes

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