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Record W2807745223 · doi:10.5539/jfr.v7n5p16

The Lebanese Kishk: A Traditional Dairy Product in a Changing Local Food System

2018· article· en· W2807745223 on OpenAlexvenueno aff
Mabelle Chedid, Salwa Tohmé Tawk, Ali Chalak, Sarah Karam, S.K. Hamadeh

Bibliographic record

VenueJournal of Food Research · 2018
Typearticle
Languageen
FieldEnvironmental Science
TopicSustainable Agricultural Systems Analysis
Canadian institutionsnot available
Fundersnot available
KeywordsBusinessProduct (mathematics)Production (economics)RecipeCertificationSustainabilityAgricultural scienceQuality (philosophy)Scale (ratio)Milk productionMarketingAgricultural economicsFood scienceGeographyMathematicsEconomicsEnvironmental scienceAnimal scienceBiology

Abstract

fetched live from OpenAlex

This paper focuses on analyzing the production chain of traditional kishk prepared with wheat and milk in two Lebanese regions, the West Bekaa and the Chouf. It aims at assessing kishk processing to analyze the sustainability of this traditional product especially under the impact of changing wheat production and milk availability. A survey was conducted at the level of kishk producers and wheat farmers to identify the different production systems based on their scale and their practices. Results showed that kishk production has been sustained by rural women in the designated areas and was not affected by the changes that have occurred in the wheat sector which included introduction of new wheat varieties; on the contrary, this traditional product has adopted the new varieties. In addition, the versatility of kishk recipe prepared from cow, sheep or goat milk, makes this dairy product resilient to changes in milk availability and sources. However, the authors found that conserving traditional kishk requires substantial efforts in marketing, certification, and quality control.

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)0.000
metaresearch head score (Gemma)0.000
Version: metacan-v3-hybrid-931329e0061cValidation 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 score0.014
Threshold uncertainty score0.027

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0010.001
Scholarly communication0.0010.001
Open science0.0000.001
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0020.000

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 head0.052
GPT teacher head0.289
Teacher spread0.237 · 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 designObservational
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
Published2018
Admission routes1
Has abstractyes

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