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Record W2738206696 · doi:10.1017/s0260210517000316

Embedding regional actors in social and historical context: Australia-New Zealand integration and Asian-Pacific regionalism

2017· article· en· W2738206696 on OpenAlexaff
Matthew Castle

Bibliographic record

VenueReview of International Studies · 2017
Typearticle
Languageen
FieldEconomics, Econometrics and Finance
TopicGlobal trade and economics
Canadian institutionsCanadian Institute for International Peace and Security
FundersH2020 European Research Council
KeywordsRegionalism (politics)RegionalisationPolitical scienceRegional integrationCorporate governanceAgency (philosophy)Economic geographyContingencyEconomyEconomic integrationPolitical economyInternational tradeEconomic systemGeographyPoliticsEconomicsSociologySocial science

Abstract

fetched live from OpenAlex

Abstract The regionalisation of the world economy is one of the most important developments in global governance in the past two decades. This process has seen ‘inter-regional’ economic agreements emerge between two or more regional groupings. Drawing mainly on the European Union’s external relations, observers accordingly point to the growing importance of regional actors, explaining their agency (or ‘actorness’) with regional attributes such as (supranational) institutional design, size, and member state cohesion. This article challenges this dominant explanation of regional agency. It argues that regional actors are socially, politically, and historically ‘embedded’. Agency reflects the contingency of regional integration processes, the motivations that underpin those processes, and the specific relationships between regions and third parties. This approach explains an important case of inter-regionalism from the Asia-Pacific: CER-ASEAN relations. Since the early 1990s, Australia and New Zealand have used their ‘Closer Economic Relations’ trade agreement for relations with the Association of Southeast Asian Nations. This reflects the ambitions of Australasian officials to shape processes of Asian-Pacific regionalism, and the interests of ASEAN officials in consolidating their own process of transnational market-making. Here, regional agency owed to a transforming world economy and the reconceptualisation of regions within new networks of trade governance.

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)0.000
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: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.358
Threshold uncertainty score0.453

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
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 head0.269
GPT teacher head0.356
Teacher spread0.087 · 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 designObservational
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

Citations10
Published2017
Admission routes1
Has abstractyes

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