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Record W2495096380 · doi:10.1093/0199269009.003.0013

International Migration, Identity, and Development in Oceania: A Synthesis of Ideas

2004· book-chapter· en· W2495096380 on OpenAlexaboutno aff
Richard Bedford

Bibliographic record

VenueInternational Migration · 2004
Typebook-chapter
Languageen
FieldSocial Sciences
TopicIsland Studies and Pacific Affairs
Canadian institutionsnot available
Fundersnot available
KeywordsGeographyEconomic geographyGlobalizationRemittanceScholarshipPopulationSociocultural evolutionIdentity (music)Gender studiesSociologyGenealogyHistoryPolitical scienceAnthropology

Abstract

fetched live from OpenAlex

Abstract At the turn of the millennium, new geographies and histories are being written for the thousands of atolls, reef islands, volcanic cones and continental islands that comprise the region termed Oceania. In terms of motives for and patterns of spatial mobility of the inhabitants of this “sea of islands”, the largest cities of Australia and New Zealand, as well as Los Angeles and Vancouver on the west coast of North America, must also be included in Oceania's contemporary international migration system. This chapter explores four approaches that emphasize the salience of international migration for development in this region: demographic and resource imperatives for migration; remittance flows and dependency/interdependency structures in the region; Pacific identities and socio‐cultural dimensions of contemporary mobility; and the effects of structural adjustment programs and globalization on transformations of Oceanic societies. The emphasis on multiple identities and multi‐local populations in recent studies of international migration in Oceania traverse ideas and concepts that have been around for a long time in research on population movement in the region. A synthesis of ideas about international migration, identity, and development in Oceania assists researchers to navigate the intellectual turmoil that has surrounded discourses about modernity and postmodernity – discourses that challenge us to keep our critical geographical imagination creatively open to redefinition of old ideas, and expansion into new directions of scholarship.

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)0.001
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: Review · Consensus signal: none
Teacher disagreement score0.015
Threshold uncertainty score0.072

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.001
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0040.005
Science and technology studies0.0030.012
Scholarly communication0.0090.005
Open science0.0010.002
Research integrity0.0020.003
Insufficient payload (model declined to judge)0.0030.000

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 head0.022
GPT teacher head0.280
Teacher spread0.258 · 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
GenreReview

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

Citations8
Published2004
Admission routes1
Has abstractyes

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