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Record W1602942115 · doi:10.1080/13688790.2011.563457

Reconciliation, indigeneity, and postcolonial nationhood in settler states

2011· article· en· W1602942115 on OpenAlexaboutno aff
Miranda Johnson

Bibliographic record

VenuePostcolonial Studies · 2011
Typearticle
Languageen
FieldSocial Sciences
TopicIndigenous Health, Education, and Rights
Canadian institutionsnot available
FundersAustralian Government
KeywordsIndigenousCognitive reframingIndependence (probability theory)PoliticsGender studiesCommonwealthColonialismEconomic JusticeSociologyValue (mathematics)Political scienceEthnologyLawPsychologySocial psychology

Abstract

fetched live from OpenAlex

In the Commonwealth settler states of Australia, New Zealand and Canada in the last two decades, ‘reconciliation’ has become a key term for expressing a new relationship between indigenous and non-indigenous (primarily white settler) peoples. The term is usually associated with post-conflict societies and its use in the settler states is meant to acknowledge the historical injustices that indigenous people suffered in the colonial past. In this article, I examine how reconciliation evokes a kind of postcolonial nationhood in settler states in a post-imperial era. This is a peculiar form of postcoloniality since it does not mean the realization of political independence for indigenous people. It does, however, mean the reframing of settler states in more local terms. In fact, I suggest that the ways in which justice has been provided to indigenous people have invested their indigeneity with a high cultural value that non-indigenous people in these countries also want, in order to localize their expressions of postcolonial nationhood.

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)0.005
metaresearch head score (Gemma)0.005
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: Empirical
Teacher disagreement score0.015
Threshold uncertainty score0.029

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0050.005
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0150.036
Scholarly communication0.0060.003
Open science0.0010.008
Research integrity0.0020.003
Insufficient payload (model declined to judge)0.0020.000

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 head0.047
GPT teacher head0.337
Teacher spread0.290 · 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

Citations58
Published2011
Admission routes1
Has abstractyes

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