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Record W4387806698 · doi:10.1080/01436597.2023.2269111

Guns, gender and petroleum: a critical analysis of the underlying dynamics of Timor-Leste’s development trajectory

2023· article· en· W4387806698 on OpenAlexaff
Selver B. Şahin, Stepan Verkhovets

Bibliographic record

VenueThird World Quarterly · 2023
Typearticle
Languageen
FieldSocial Sciences
TopicPeacebuilding and International Security
Canadian institutionsMcGill University
Fundersnot available
KeywordsIdeologyHegemonyPoliticsContext (archaeology)ConstructivePolitical economySociologyDemocracyCorporate governancePolitical scienceDevelopment economicsEconomicsLawProcess (computing)GeographyManagement

Abstract

fetched live from OpenAlex

This article examines the underlying political economy context of the uneven development outcomes in post-conflict Timor-Leste. We use a modified version of a structural political economy approach that is situated in a Gramscian understanding of the state-society relationship. This approach conceptualises development as a process of historically specific class-based and gender-based contestations over the distribution of resources that result in particular forms of socio-political orders maintained through a combination of institutional and ideological mechanisms of wealth generation. Our analysis of whose interests have been prioritised and marginalised in post-independence Timor-Leste is based on a systematic examination of three major factors: regulation of class relations, organisation of gender relations, and the governance of the petroleum industry. We conclude that despite some important improvements in the formation of formal democratic institutions in Timor-Leste, the processes of the distribution of power and access to resources remain far from being inclusive prioritising a class-based group of male-dominant elites that manipulates institutions to advance their interests and use a hegemonic gender ideology to justify and maintain these existing unequal arrangements in the prevailing socio-political order. Thus, the development outcomes in Timor-Leste are strongly connected to the political-economic processes from a larger historical perspective.

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)0.000
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: Empirical
Teacher disagreement score0.832
Threshold uncertainty score0.971

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
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 head0.053
GPT teacher head0.345
Teacher spread0.292 · 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

Citations2
Published2023
Admission routes1
Has abstractyes

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