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Record W1985281775 · doi:10.1080/07409710.2014.892738

Discourses of Distinction in Contemporary Palestinian Extra-Virgin Olive Oil Production

2014· article· en· W1985281775 on OpenAlexaff
Anne Meneley

Bibliographic record

VenueFood and Foodways · 2014
Typearticle
Languageen
FieldAgricultural and Biological Sciences
TopicCulinary Culture and Tourism
Canadian institutionsTrent University
Fundersnot available
KeywordsOlive oilProduction (economics)Political scienceFood scienceEconomicsBiology

Abstract

fetched live from OpenAlex

This article shows how Palestinian producers, faced with an “existential threat” to their own physical locality, seek to re-qualify their goods such as olive oil not only as elite goods based on the discourse of distinction of taste, but also in politically-inflected global discourses of distinction that attend to how the product is sourced, produced, and exchanged. Palestinian entrepreneurs and NGO-sponsored agricultural professionals are making olive oil “distinctive,” thereby seeking to locate these Palestinian products as elite goods within a global space of circulation and distinction. To produce this kind of extra-virgin olive oil, production practices must change and new skills must be inculcated, like organoleptic “tasting practices.” Ethical consumerism is promoted through fair trade strategies which seek to connect producer with consumer, embedding Palestinian olive oil with a “taste of solidarity.” “Quality” is perceived as a tool to gain international recognition of its olive oil and, by proxy, of Palestine itself.

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 machine prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.004
metaresearch head score (Gemma)0.002
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.014
Threshold uncertainty score0.068

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0040.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.002
Science and technology studies0.0120.021
Scholarly communication0.0060.003
Open science0.0010.005
Research integrity0.0010.003
Insufficient payload (model declined to judge)0.0030.000

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 head0.035
GPT teacher head0.221
Teacher spread0.186 · 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 source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
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

Citations18
Published2014
Admission routes1
Has abstractyes

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