MétaCan
Menu
Back to cohort
Record W4389526437 · doi:10.1080/13510347.2023.2277293

The network origin of Thailand’s youth movement

2023· article· en· W4389526437 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueDemocratization · 2023
Typearticle
Languageen
FieldSocial Sciences
TopicSoutheast Asian Sociopolitical Studies
Canadian institutionsMcGill University
FundersAmerican Political Science Association
KeywordsAutocracyPoliticsSocial movementGratitudeSociologyPolitical scienceGovernment (linguistics)Gender studiesMedia studiesLawPsychologySocial psychology

Abstract

fetched live from OpenAlex

Thailand appeared to be under a tide of youthful revolutionary change. In 2020, in a rare moment in Thai history, university and secondary school students, particularly female and LGBTQ + schoolchildren, took the lead in national protests against an autocratic government. It was a period during which the seemingly impossible, such as the reform of Thailand’s royal institutions, appeared possible. What were the historical origins of the country’s revolutionary youth movement? This article argues that the Thai youth movement emerged from youth activist networks fostered by post-coup political entrepreneurs. It describes the foundational moments of these networks and analyses their inside brokerage processes, i.e. how these political entrepreneurs cultivated friendships and ties among segregated young activists by creating unique spaces – campsites and activist houses. These underground spaces allowed activists to connect, learn, brainstorm, organize mobilization, and build cross-issue and cross-regional activist ties under an autocratic regime.

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.

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: Theoretical or conceptual · Consensus signal: Theoretical or conceptual
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.569
Threshold uncertainty score0.688

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 studies0.0010.000
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 head0.037
GPT teacher head0.312
Teacher spread0.275 · 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