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Record W4312050650 · doi:10.1111/sena.12375

Pan‐Africanism in the Pacific: Race and the international construction of West Papuan identity

2022· article· en· W4312050650 on OpenAlexaff
David Webster

Bibliographic record

VenueStudies in Ethnicity and Nationalism · 2022
Typearticle
Languageen
FieldSocial Sciences
TopicAsian Studies and History
Canadian institutionsThe King's UniversityWestern University
Fundersnot available
KeywordsNationalismDecolonizationDiasporaColonialismIndonesianIdentity (music)DeclarationGender studiesEthnologyRace (biology)State (computer science)Political scienceHistorySociologyLawPolitics

Abstract

fetched live from OpenAlex

Abstract This paper examines the discourse of racial difference in the arena of global decolonization, examining the case of the Indonesian territory which is today known as Papua and until 1962 was a Dutch colony. Papuans formed a ‘nation‐of‐intent’ around the idea of ‘race’ and racial difference, initially the invention of colonial anthropologists and explorers. Papuan nationalists seized on the colonial power's declaration of racial difference, declaring themselves ‘the negroids of the Pacific’ and locating themselves within the wave of African decolonization. The paper discusses the way Papuan non‐state diplomats deployed ideas of race to claim a new Pan‐African identity, far from Africa. I draw on Papuan nationalist publications, United Nations and government documents, and oral testimonies to discuss how diplomatic imperatives led to the formation of a Papuan nationalist identity partly within the territory and partly in exile. Finally, I consider how the Papuan diaspora has continued to foster this nation‐of‐intent from exile since Indonesia’s annexation of West Papua in the 1960s.

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)0.002
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: Qualitative · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.730
Threshold uncertainty score0.757

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.002
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 head0.048
GPT teacher head0.352
Teacher spread0.304 · 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 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

Citations6
Published2022
Admission routes1
Has abstractyes

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