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Record W4368366228 · doi:10.1080/20511817.2022.2205044

The Acculturation Process of New Products through Known Products. Interpreting Ethical Certification of Diamonds through the Lens of Organic Food Produced in Italy

2022· article· en· W4368366228 on OpenAlexaboutno aff
Linda Armano

Bibliographic record

VenueLuxury · 2022
Typearticle
Languageen
FieldDecision Sciences
TopicEthics in Business and Education
Canadian institutionsnot available
FundersHorizon 2020 Framework ProgrammeEuropean Commission
KeywordsCertificationAcculturationBusinessOrganic certificationFraming (construction)PurchasingMarketingPublic relationsSociologyPolitical scienceImmigrationGeographyLawOrganic farmingAgriculture

Abstract

fetched live from OpenAlex

This study aims to highlight the use of the peculiar interconnection between two different production sectors, specifically the diamond and the food sectors, in order to show the cultural interpretations given to the certification of diamonds presented by consumers. These latter, while buying Canadian diamonds, have little knowledge of the real working conditions of miners in mines in Canada. Thus, they passively accept as truthful the jewellers’ claims in presenting ethical diamonds on which they base the moral purchasing decisions that also enable them to distinguish ethical diamonds from other non-certified diamonds. Drawing inspiration from studies on framing related to the analysis of language, the study shows how “frames of familiarity” linked to cultural ideas of food production sectors managed to incorporate “frames of novelty” in relation to Canadian diamonds, which are still niche products in Italy, on the part of a socio-cultural community of consumers who were thus able to increase the perception of trustworthiness with regard to these products. Thus, this research demonstrates that interpreting the certification of Canadian ethical diamonds through the lens of organic food produced in Italy, which is a label that generally refers to meanings of careful, respectful, and high-quality processing, allowed the Italian consumers interviewed to perform an act of acculturation of diamonds mined in Canada.

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)0.005
metaresearch head score (Gemma)0.029
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMetaresearch
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.493
Threshold uncertainty score0.979

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0050.029
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.003
Science and technology studies0.0000.000
Scholarly communication0.0000.001
Open science0.0010.000
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 head0.211
GPT teacher head0.410
Teacher spread0.199 · 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 designBench or experimental
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

Citations1
Published2022
Admission routes1
Has abstractyes

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