MétaCan
Menu
Back to cohort
Record W3132340935 · doi:10.1111/gwao.12646

Working intimacies: Migrant beer sellers, surveillance, and intimate labor in Cambodia, Laos, and Thailand

2021· article· en· W3132340935 on OpenAlex
Denise L. Spitzer

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.
fundA Canadian funder is recorded on the work.

Bibliographic record

VenueGender Work and Organization · 2021
Typearticle
Languageen
FieldSocial Sciences
TopicMigration, Ethnicity, and Economy
Canadian institutionsUniversity of Alberta
FundersInstitute of Gender and Health
KeywordsMigrant workersCommissionMainlandEmotional laborCitizen journalismSociologyBusinessPolitical scienceEconomic growthPsychologyGeographySocial psychologyEconomics

Abstract

fetched live from OpenAlex

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.

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)0.000
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: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.040
Threshold uncertainty score0.636

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0000.000
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 head0.016
GPT teacher head0.238
Teacher spread0.222 · 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