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Record W4393319762 · doi:10.26443/firr.v14i2.166

The Roots of Ethnic Conflict in Post-World War II Myanmar, Malaysia, and the Philippines

2024· article· en· W4393319762 on OpenAlexaffvenue
Brianne Dy

Bibliographic record

VenueFlux International Relations Review · 2024
Typearticle
Languageen
FieldSocial Sciences
TopicAsian Geopolitics and Ethnography
Canadian institutionsUniversity of British Columbia
Fundersnot available
KeywordsEthnic groupEthnic conflictPolitical scienceDevelopment economicsGeographyEconomicsLaw

Abstract

fetched live from OpenAlex

The impacts of colonial history on present-day ethnic relations in Southeast Asia, a region known for its cultural and ethnic diversity, remain significant in understanding the sociopolitical developments within the countries of the region. This paper examines the historical origins and contemporary implications of long-standing ethnic conflicts in Southeast Asia, focusing on Myanmar, Malaysia, and the Philippines. I argue that these conflicts stemmed from colonial legacies and can be traced back to each country’s respective colonial periods, which took place at different points in history. From the imposition of territorial boundaries to racial classification and differential treatment, colonial policies resulted in enduring tensions between ethnic populations, which continue to shape ethnic relations in these countries today. British colonial rule in Myanmar fostered tensions between the Bamar majority and non-Bamar minorities, while in Malaysia, disparities between Malays and ethnic Chinese were fueled by British migration policies. In the Philippines, conflicts involving the Muslim minority in Mindanao originated from attempts by the Spanish at Christianization and subjugation, further exacerbated by American imperialism. Despite variations in colonial experiences and timelines, ethnic conflicts underscore the lasting impact of colonization on these countries’ present-day social and political dynamics.

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)0.001
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Other · Consensus signal: none
Teacher disagreement score0.931
Threshold uncertainty score0.998

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0000.001
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
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 head0.026
GPT teacher head0.352
Teacher spread0.327 · 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.

Study designNot applicable
Domainnot available
GenreOther

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

Citations0
Published2024
Admission routes2
Has abstractyes

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