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Record W7015743151

Towards a Multilingual National Literature: The Tung Wah Times and the origins of Chinese Australian Writing

2015· article· en· W7015743151 on OpenAlexaboutno aff

Bibliographic record

VenueResearch Online (University of Wollongong) · 2015
Typearticle
Languageen
FieldSocial Sciences
TopicAustralian History and Society
Canadian institutionsnot available
Fundersnot available
KeywordsMulticulturalismIndigenousTRACE (psycholinguistics)MultilingualismDiglossiaArabicInclusion (mineral)Canadian literatureEthnic groupDiasporaLiterary criticism
DOInot available

Abstract

fetched live from OpenAlex

Australian literature has over the last 50 years witnessed the gradual inclusion of writers and texts formerly considered marginal: from a predominantly white, Anglo canon it has come to incorporate more women writers, writers of popular genres, Indigenous writers, and migrant, multicultural or diasporic writers. However, one large and important body of Australian writing has remained excluded from histories and anthologies: literature in languages other than English. Is this the last literary margin? How might it be incorporated into the national canon, and how might it enhance our understanding of the cross-cultural traffic that feeds into the literature of a migrant nation? These are the questions explored in a project entitled ‘New transnationalisms: Australia’s multilingual literary heritage.’ The specific aim of the project is to trace the history of Australian writing in Chinese, Vietnamese, Arabic and Spanish (and to encourage and support other scholars to produce similar histories for other language traditions); beyond that, we want to chart new directions for thinking about the relationship between local and global cultural production, shaping while at the same time interrogating the category of the national.

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)0.005
metaresearch head score (Gemma)0.001
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 score0.204
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0050.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0010.003
Scholarly communication0.0000.000
Open science0.0010.000
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 head0.100
GPT teacher head0.403
Teacher spread0.303 · 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

Citations2
Published2015
Admission routes1
Has abstractyes

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