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Record W3112260564 · doi:10.1080/14442213.2020.1846207

Distilling Culture into Commodity? The Emergent Homemade Alcohol Trade and Gendered Livelihoods in Upland Northern Vietnam

2020· article· en· W3112260564 on OpenAlexfundno aff
June Y. T. Po, Jennifer C. Langill, Sarah Turner, Jean Michaud

Bibliographic record

VenueThe Asia Pacific Journal of Anthropology · 2020
Typearticle
Languageen
FieldSocial Sciences
TopicVietnamese History and Culture Studies
Canadian institutionsnot available
FundersSocial Sciences and Humanities Research Council of CanadaFonds de Recherche du Québec-Société et CultureUniversité Laval
KeywordsLivelihoodCommodityEthnic groupConsumption (sociology)OddsAgrarian societyProfitability indexState (computer science)PoliticsGeographyBusinessPolitical scienceEconomicsSociologyMarket economyAgricultureSocial science

Abstract

fetched live from OpenAlex

Ethnic minorities in the uplands of northern Vietnam are experiencing rapid state- and market-induced economic and agrarian transformations. These communities are having to make important livelihood adaptations to adjust, while living at Vietnam’s economic and political margins. We analyse one such market-induced transformation that some upland communities are deciding to engage with, connected to an increasing demand for locally distilled alcohol. Against the backdrop of traditional production for domestic consumption, distilled alcoholic beverages are now (re)emerging as a cash-earning opportunity. Drawing on interviews and observations with ethnic minority Hmong and Yao women and men in Lào Cai Province, we analyse the degree to which household members have engaged with this market opportunity and the often complex reasons behind their choices. We reveal how an apparently simple shift in scale of a customary activity generates nuanced cultural, gendered and generational debates that, at times, are at odds with mere profitability.

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 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 categoriesScience and technology studies
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.743
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0020.002
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
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 head0.034
GPT teacher head0.308
Teacher spread0.274 · 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

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

Study designQualitative
Domainnot available
GenreEmpirical

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".

Quick stats

Citations8
Published2020
Admission routes1
Has abstractyes

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