MétaCan
Menu
Back to cohort
Record W4320060972 · doi:10.1017/jea.2022.35

Southeast Asia under Great-Power Competition: Public Opinion About Hedging in the Philippines

2022· article· en· W4320060972 on OpenAlex
Songying Fang, Xiaojun Li

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.
fundA Canadian funder is recorded on the work.

Bibliographic record

VenueJournal of East Asian Studies · 2022
Typearticle
Languageen
FieldSocial Sciences
TopicAsian Studies and History
Canadian institutionsUniversity of British Columbia
FundersSocial Sciences and Humanities Research Council of Canada
KeywordsChinaCompetition (biology)Shadow (psychology)PoliticsPublic opinionPolitical sciencePower (physics)Southeast asiaEconomyPolitical economyDevelopment economicsEconomicsSociologyLawEthnology

Abstract

fetched live from OpenAlex

Abstract Under pressure to choose between the U.S. and China, Southeast Asian countries have adopted a hedging strategy: deepening economic relations with China while strengthening security cooperation with the U.S. How does the region's public view this strategy? With tensions rising in South China Sea territorial disputes, are more nationalistic individuals more likely to oppose hedging? Using an original public opinion survey conducted in the Philippines, we find that while an overwhelming majority of respondents were concerned about the territorial disputes, more nationalistic Filipinos were no more concerned than less nationalistic ones. Further, more nationalistic Filipinos were more likely to view economic relations with China as important for the Philippines and to approve of Duterte's China policy, which follows the logic of hedging. These surprising findings suggest that under the shadow of great-power competition, the link between domestic politics and foreign policy is nuanced in the Philippines, and Southeast Asia in general.

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.

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 categoriesScience and technology studies
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.988
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0030.001
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 head0.073
GPT teacher head0.331
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