MétaCan
Menu
Back to cohort
Record W2606634059 · doi:10.25071/1920-7336.40446

Australia as a Powerbroker on Refugee Protection in Southeast Asia: The Relationship with Indonesia

2017· article· en· W2606634059 on OpenAlexvenueno aff
Susan Kneebone

Bibliographic record

VenueRefuge Canada s Journal on Refuge · 2017
Typearticle
Languageen
FieldSocial Sciences
TopicAsian Studies and History
Canadian institutionsnot available
Fundersnot available
KeywordsRefugeeHegemonyIndonesianContext (archaeology)Southeast asiaPolitical sciencePoliticsSociologyGender studiesPolitical economyDevelopment economicsGeographyEthnologyLawEconomics

Abstract

fetched live from OpenAlex

Using the example of Australian-Indonesian cooperation on deterrence of asylum seekers in transit through Indonesia to Australia, this article challenges the view that Australia is a regional hegemon. It does this through two main methods. First, it engages in a close analysis of the shifting relationship between the two countries on refugee and asylum-seeker issues through different periods since 2001 to 2016. This demonstrates that the relationship is in fact more nuanced than previously suggested by other scholars. Second, it refers to Thomas Pedersen’s political concept of “cooperative hegemony,” which focuses upon “ideationalinstitutional realism” as a lens through which to view regional co-operation. It analyzes the institutional nature of the Australian–Indonesian cooperation relationship in the Southeast Asian context, to demonstrate that Australia has not established itself as a model of “cooperative hegemony.”

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)0.002
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.053
Threshold uncertainty score0.105

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0100.008
Scholarly communication0.0040.003
Open science0.0010.008
Research integrity0.0010.003
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 head0.047
GPT teacher head0.311
Teacher spread0.264 · 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 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

Citations33
Published2017
Admission routes1
Has abstractyes

Explore more

Same venueRefuge Canada s Journal on RefugeSame topicAsian Studies and HistoryFrench-language works237,207