“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
Bibliographic record
Abstract
“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 machine prediction
Teacher imitationNot 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.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.003 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.020 | 0.007 |
| Scholarly communication | 0.004 | 0.003 |
| Open science | 0.001 | 0.006 |
| Research integrity | 0.002 | 0.003 |
| Insufficient payload (model declined to judge) | 0.007 | 0.000 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".