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Record W2764236451

Anthologising the nation

2003· article· en· W2764236451 on OpenAlexaboutno aff
John Kinsella

Bibliographic record

VenueIsland · 2003
Typearticle
Languageen
FieldSocial Sciences
TopicAustralian History and Society
Canadian institutionsnot available
Fundersnot available
KeywordsIdentity (music)PoliticsOppressionNationalismPoetryNational identitySociologyContext (archaeology)AotearoaMedia studiesGender studiesHistoryAestheticsPolitical scienceLiteratureLawArt
DOInot available

Abstract

fetched live from OpenAlex

Over the last six or seven years I have edited a number of special Australian issues of literary journals from Britain, Canada, and the United States. I have also edited an anthology of contemporary Australian poetry, Landbridge, and am at present completing a two-volume historical anthology. These projects were very different in orientation from the process of including Australian poetry (and prose) in the many 'general' issues of literary journals that I edited over the same period of time, and indeed over the last dozen or so years. Apart from the obvious agenda of representing place and culture, or especially with a continent-country as large and diverse as Australia, places and cultures, there's the constant undercurrent of bypassing or making connections between differences to create a broader context of identity. Shared identity. To open lines of communication between different kinds of poetries coming out of a spatial zone that implies shared language, geography, social and cultural concerns, and political frameworks, can be useful in presenting a picture of how that place works subtextually. But it is also limiting, and tends to help establish a nationalist discourse, a collective identity that places those outside the fabric as Other. This Other varies in degrees of rapprochement and alienation, but all those outside the place denoted by the rubric Australia' become the necessary counterpart in a binary that defines collective identity. This can easily become the machinery of oppression, the emotional and potentially propagandist means of oppressing those who aren't of the nation.

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)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation 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 score0.900
Threshold uncertainty score0.423

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.000
Scholarly communication0.0000.000
Open science0.0000.000
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 head0.062
GPT teacher head0.325
Teacher spread0.262 · 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.

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

Citations1
Published2003
Admission routes1
Has abstractyes

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