The Mak Pasar: Engaging with the Difficulty of Reality in a Recurring Conflict-ridden Thailand’s Far South
Bibliographic record
Abstract
Pictures of women eking out a living at open-air markets in conflict zones are often used worldwide to elicit sympathy and outrage. Their chilies, synecdoche here for the commodities they sell at the open-air markets, constitutes another stereotypical image of these women living on the margins of the economy. However, what remains missing in most analyses is the focus on the lives and livelihoods of these women who bear the hardships of maintaining family life in precarious circumstances. This article focuses on the effects of the latest insurgency in Thailand’s far south on a group of women food vendors ( mak pasar ) as they engage with the difficulty of reality. It also touches on their cynical subjectivities towards how the government has been handling the conflict and their ambivalence towards the insurgency.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot 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.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.002 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.011 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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; both teacher heads agree on what is shown here.
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".