Working intimacies: Migrant beer sellers, surveillance, and intimate labor in Cambodia, Laos, and Thailand
Bibliographic record
Abstract
Abstract Thousands of rural‐to‐urban migrant women find employment in urban areas of mainland Southeast Asia as beer sellers, beer promoters, and karaoke girls whose duties include selling alcoholic drinks, often on commission, and entertaining clients. Using the label of beer sellers to refer to all of these workers, this paper draws from a sequential mixed‐methods participatory study conducted with migrant beer sellers in Cambodia, Laos, and Thailand to examine beer selling as intimate labor. Deploying emotional, affective, and embodied labor as interactive components of intimate labor, migrant beer sellers as members of the urban precariat are subject to myriad forms of surveillance that operate in concert to inform the parameters of beer selling as an intimate industry, the somato‐social presentation of workers' bodies, and their intercorporeal interactions with clients. Together, they work to reinforce gendered and racialized social hierarchies and the normative social order.
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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 | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.004 | 0.002 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.000 | 0.003 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 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".