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Record W3011854652 · doi:10.1111/dech.12582

Bastard Spice or Champagne of Cinnamon? Conflicting Value Creations along Cinnamon Commodity Chains in Northern Vietnam

2020· article· en· W3011854652 on OpenAlex

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

VenueDevelopment and Change · 2020
Typearticle
Languageen
FieldBusiness, Management and Accounting
TopicGlobal trade, sustainability, and social impact
Canadian institutionsMcGill University
FundersSocial Sciences and Humanities Research Council of CanadaSchweizerischer Nationalfonds zur Förderung der Wissenschaftlichen Forschung
KeywordsCommodity chainVietnameseCommodityLivelihoodEthnic groupValue (mathematics)Fair tradeTasteSociologyPolitical scienceEconomicsGeographyAgricultureAnthropologyMarket economyLawFood science

Abstract

fetched live from OpenAlex

ABSTRACT In upland northern Vietnam ethnic minority farmers are cultivating what some global retailers refer to as the ‘champagne of cinnamon’. However, a closer examination reveals that this spice is not ‘true cinnamon’ but cassia, with the exact species remaining uncertain. Drawing on commodity chain literature and debates over the creation of value and quality, the aims of this article are twofold. First, it investigates the making of ‘Vietnamese cinnamon’ as it moves from the hills of northern Vietnam to supermarket shelves in the global North, and the actors and livelihoods involved. Second, it explores how different actors define ‘Vietnamese cinnamon’ and infuse it with often‐contradictory values. Based on multi‐sited ethnographic fieldwork over a four‐year period, the study finds that the state and cooperating non‐government organizations tend to ignore ongoing taxonomic confusion while creating a geographical indicator to highlight the uniqueness of this commodity. Yet, concurrently, exporters and retailers in the global North focus on other distinctions as key marketing tools including remoteness, ethnicity, taste and health benefits. The article thus calls for an expanded analytical focus on competing value creation for agro‐food products and on the impacts for commodity producers, in this case ethnic minority farmers in the global South.

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 score0.017
Threshold uncertainty score0.798

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 communication0.0000.001
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 head0.070
GPT teacher head0.278
Teacher spread0.208 · 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