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Record W2103800397 · doi:10.5539/ass.v10n6p7

“Flowers of the Dawn”: Mediator and Facilitators of Social Justice for Transnational Laborers in the Thai-Burmese Borderland of Mae Sot District, Tak Province, Thailand

2014· article· en· W2103800397 on OpenAlexvenueno aff
Kettawa Boonprakarn, Jedsarid Sangkaphan, Benjaporn Deekhuntod, Nuntharat Suriyo

Bibliographic record

VenueAsian Social Science · 2014
Typearticle
Languageen
FieldSocial Sciences
TopicAsian Geopolitics and Ethnography
Canadian institutionsnot available
FundersThailand Research Fund
KeywordsBurmeseGovernment (linguistics)Economic JusticeHuman rightsSocial issuesEconomic growthTrustworthinessPolitical scienceSociologyPublic relationsGender studiesLawPsychologyEconomicsSocial psychology

Abstract

fetched live from OpenAlex

“Flowers of the Dawn” is a group of transnational laborers who are successful in helping their fellow laborers in a wide range of problems. The group understands problems better, is more trustworthy, and more able to solve problems than other groups that also help laborers. The influx of “cheap labor” and “illegal laborers” has caused chronic problems for Thai society and the laborers themselves at the individual, local and national levels. The problems have not been seriously addressed and the laborers themselves have become “the problems” that cause many difficulties in racial bias which in turn leads to inappropriate solutions to the problems and hence the real causes of the problems have not been overlooked. “Flowers of the Dawn” is a group of mediators and facilitators of social justice that targets transnational laborers fleeing from Myanmar and those who have been in Mae Sot and nearby areas. Assistance provided by the group has helped mitigate the problems resulting from government officials’ negligence or by operators’ exploitation of laborers. Even though not all the problems can be solved successfully, at least such assistance can make business operators and government officials see the importance of the problems of human rights and address them accordingly.

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)0.002
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesScience and technology studies
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.754
Threshold uncertainty score0.998

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0010.005
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 head0.008
GPT teacher head0.284
Teacher spread0.276 · 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 designTheoretical or conceptual
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

Citations0
Published2014
Admission routes1
Has abstractyes

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