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Record W4391653682 · doi:10.1080/0966369x.2024.2312366

Remembering the Mun: engendering local geographies of resistance to the Pak Mun Dam

2024· article· en· W4391653682 on OpenAlexfundno aff
Akarath Soukhaphon, Ian G. Baird

Bibliographic record

VenueGender Place & Culture · 2024
Typearticle
Languageen
FieldSocial Sciences
TopicSoutheast Asian Sociopolitical Studies
Canadian institutionsnot available
FundersSocial Sciences and Humanities Research Council
KeywordsResistance (ecology)CeremonyLivelihoodPower (physics)PoliticsPolitical scienceSociologyGeographyGender studiesHistoryLawArchaeologyEcology

Abstract

fetched live from OpenAlex

The Pak Mun Dam remains one of north-eastern Thailand’s most disputed infrastructure projects. Local livelihoods, particularly those of women, have been negatively impacted, leading many to participate in the resistance movement against the dam. While the fight continues, protests have waned in frequency and vigour. Many in the resistance movement have grown older and passed on, while others have accepted their fate brought on, in part, by the Electricity Generating Authority of Thailand’s use of resources to foment division among villagers. In the place of mass protests, local actors have turned to organising memorial events, in which resistance is expressed through local practices. This article explores the roles of women, particularly Mae Sompong, in shaping new geographies of resistance through the embodied performances of two memorial events—the Liang Luang Liang Wang and the Boon Mot ceremonies. While the annual Liang Luang Liang Wang ceremony commemorates the migration of fish upriver from the Mekong River into the Mun River and the Boon Mot ceremony commemorates Wanida (Mot) Tantiwittayapitak and other Pak Mun Dam activists who have died, both serve as reminders of past resistance and are catalysts for future contestations. Using a feminist political ecology approach, we contend that ethnic Lao villagers, especially women, constitute local geographies of anti-dam resistance through commemorative practices, ones that have been rendered unimportant and invisible by uneven power relations.

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: Qualitative · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.856
Threshold uncertainty score0.864

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 studies0.0010.001
Scholarly communication0.0000.000
Open science0.0010.000
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 head0.030
GPT teacher head0.304
Teacher spread0.274 · 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

Citations4
Published2024
Admission routes1
Has abstractyes

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