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Record W2312589058 · doi:10.5509/2014873441

Context and Method in Southeast Asian Politics

2014· article· en· W2312589058 on OpenAlexvenueno aff
Thomas B. Pepinsky

Bibliographic record

VenuePacific Affairs · 2014
Typearticle
Languageen
FieldSocial Sciences
TopicSoutheast Asian Sociopolitical Studies
Canadian institutionsnot available
Fundersnot available
KeywordsPoliticsContext (archaeology)Southeast asiaPolitical scienceGeographyHistoryAncient historyArchaeologyLaw

Abstract

fetched live from OpenAlex

This essay introduces and evaluates a central debate about context sensitivity in Southeast Asian political studies. Within this diverse field, there is no agreement about what context means, or how to be sensitive to it. I develop the idea of unit context (traditionally, the area studies concern) and population context (traditionally, the comparative politics concern) as parallel organizing principles in Southeast Asian political studies. The unit context/population context distinction does not track the now-familiar debates of qualitative versus quantitative analysis, nor debates about positivist epistemology and its interpretivist alternatives, nor even political science versus area studies. Context is not method, nor epistemology, nor discipline. Rather, the core distinction between unit-focused and population-focused research lies in assumptions about the possibility of comparison, or what methodologists call unit homogeneity. While I conclude on an optimistic note that a diverse Southeast Asian political studies (embracing many disciplines and many methodologies) is possible, the fact remains that unit context and population context are fundamentally incommensurate as frameworks for approaching Southeast Asian politics, and that population context is the superior approach. This essay discusses context and method in Southeast Asian political studies as understood by two academic communities: Southeast Asia area studies and mainstream comparative politics. Scholars working in each academic community commonly hold that research in the other tradition is insufficiently attentive to context. The natural consequences that arise from this lack of “context sensitivity” are that research on Southeast Asian politics is at best trivial, and at worse incorrect. For both communities, the only remedy for the failings of the other’s research is “more attention to context.” Complaints about context sensitivity are rarely seen in print. Instead, they are made informally, over coffee between likeminded colleagues, in the halls of the Association of Asian Studies annual meeting, and in seminar presentations and referee reports—the hidden transcripts of debates about theory, place, and methodology in contemporary Southeast Asian political

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 categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.995
Threshold uncertainty score0.514

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.001
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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 head0.018
GPT teacher head0.300
Teacher spread0.283 · 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 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

Citations7
Published2014
Admission routes1
Has abstractyes

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