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Record W2923659739 · doi:10.1017/s0022463419000031

From Hill tribes to Indigenous Peoples: The localisation of a global movement in Thailand

2019· article· en· W2923659739 on OpenAlexaboutno aff
Micah F. Morton, Ian G. Baird

Bibliographic record

VenueJournal of Southeast Asian Studies · 2019
Typearticle
Languageen
FieldSocial Sciences
TopicSoutheast Asian Sociopolitical Studies
Canadian institutionsnot available
Fundersnot available
KeywordsIndigenousOptimal distinctiveness theoryPoliticsTribePolitical movementPolitical scienceGender studiesEthnologySociologyLaw

Abstract

fetched live from OpenAlex

This article presents a chronology of the growth of the concept of Indigeneity in Thailand, analysing the particular ways in which the global Indigenous movement has taken root in the country. In Thailand, transnational support networks and the opening of political associational space played key roles in facilitating the growth of, first, a regional, and later a national Indigenous movement during the 1980s and early 2000s, respectively. Indigenous Peoples in Thailand are asserting their identity by drawing on a new concept of Indigeneity being promoted by the United Nations and other international advocacy organisations that identifies them not only as first peoples, but crucially as colonised or oppressed peoples. Indigenous Peoples in Thailand are further asserting both their cultural distinctiveness and their compatibility with the Thai nation. The Indigenous movement in Thailand differs from movements in Australia, Canada, and the United States where Indigenous Peoples must perform their cultural distinctiveness to maintain political recognition, and in turn are accused of being not different enough when exercising their rights. In Thailand, rather, Indigenous Peoples are accused of being not Thai enough in their efforts to push for any political recognition. While the Thai government denies the relevance of the concept of Indigeneity to Thailand, it is clear that the Indigenous movement in Thailand has grown since the early 2000s. In fact, state policies between the 1950s and early 2000s contributed toward the scaling-up of a pan-Hill tribe identity among the core groups associated with the movement.

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 machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.001
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.032
Threshold uncertainty score0.064

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.004
Science and technology studies0.0060.006
Scholarly communication0.0060.003
Open science0.0000.006
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0050.000

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 head0.022
GPT teacher head0.320
Teacher spread0.298 · 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 source (direct Gemma or distilled Codex), 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

Citations50
Published2019
Admission routes1
Has abstractyes

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