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Record W2945400077 · doi:10.7765/9781526121547.00007

Introduction

2017· book-chapter· en· W2945400077 on OpenAlexaboutno aff
Annie E. Coombes

Bibliographic record

VenueManchester University Press eBooks · 2017
Typebook-chapter
Languageen
FieldSocial Sciences
TopicAustralian History and Society
Canadian institutionsnot available
Fundersnot available
KeywordsAotearoaColonialismIndigenousExhibitionMythologyNational identityRepresentation (politics)Political scienceSociologyMedia studiesHistoryLawPoliticsArt history

Abstract

fetched live from OpenAlex

This introduction provides an overview of the key concepts discussed in the subsequent chapters of this book. The book provides a means of exploring some of the characteristics distinctive to the colonial encounter and indigenous and migrant challenges to colonial rule in Australia, Aotearoa New Zealand, Canada and South Africa. It focuses on colonial administrative structures with the emergence of settler civil society in terms of welfare policy, regional colonial administration, the development of labour unions with and part in the creation of foundational national myths. The book also focuses on the struggles over the representation of national histories through analyses of key cultural institutions and monuments, both historically and in terms of contemporary strategies. It analyses the potential roles allocated to the exhibition and display of Maori artifacts and heritage in a museum celebrating the national identity of Aotearoa New Zealand.

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 categoriesInsufficient payload (model declined to judge)
Consensus categoriesInsufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.620
Threshold uncertainty score0.885

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.001
Science and technology studies0.0020.001
Scholarly communication0.0040.004
Open science0.0020.002
Research integrity0.0020.002
Insufficient payload (model declined to judge)0.3800.203

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 head0.052
GPT teacher head0.243
Teacher spread0.191 · 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; the direct Gemma label and the distilled Codex classifier agree on what is shown here.

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

Citations1
Published2017
Admission routes1
Has abstractyes

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