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Record W2479599903 · doi:10.1017/cbo9781316050873

A History of New Zealand Literature

2016· book· en· W2479599903 on OpenAlexaboutno aff

Bibliographic record

VenueCambridge University Press eBooks · 2016
Typebook
Languageen
FieldEconomics, Econometrics and Finance
TopicNew Zealand Economic and Social Studies
Canadian institutionsnot available
Fundersnot available
KeywordsBiculturalismMulticulturalismHistoryColonialismNationalismDramaCanadian literaturePoliticsHistory of literatureAotearoaGenealogyLiteratureGender studiesAnthropologySociologyArtPolitical scienceLawArchaeologyLinguisticsPhilosophy

Abstract

fetched live from OpenAlex

A History of New Zealand Literature traces the genealogy of New Zealand literature from its first imaginings by Europeans in the eighteenth century. Beginning with a comprehensive introduction that charts the growth of, and challenges to, a nationalist literary tradition, the essays in this History illuminate the cultural and political intricacies of New Zealand literature, surveying the multilayered verse, fiction and drama of such diverse writers as Katherine Mansfield, Allen Curnow, Frank Sargeson, Janet Frame, Keri Hulme, Witi Ihimaera and Patricia Grace. Written by a host of leading scholars, this History devotes special attention to the lasting significance of colonialism, biculturalism and multiculturalism in New Zealand literature. A History of New Zealand Literature is of pivotal importance to the development of New Zealand writing and will serve as an invaluable reference for specialists and students alike.

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)0.002
metaresearch head score (Gemma)0.006
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: Not applicable
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.209
Threshold uncertainty score0.416

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.006
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0060.010
Science and technology studies0.0070.008
Scholarly communication0.0090.008
Open science0.0010.003
Research integrity0.0010.003
Insufficient payload (model declined to judge)0.0210.006

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 head0.027
GPT teacher head0.170
Teacher spread0.143 · 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

Citations16
Published2016
Admission routes1
Has abstractyes

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