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Record W2041328059 · doi:10.3390/su3030541

Sustainable Food Production Systems and Food Security: Economic and Environmental Imperatives in Yam Cultivation in Trelawny, Jamaica

2011· article· en· W2041328059 on OpenAlexaff
Clinton L. Beckford, Donovan Campbell, David Barker

Bibliographic record

VenueSustainability · 2011
Typearticle
Languageen
FieldEconomics, Econometrics and Finance
TopicEconomic Growth and Productivity
Canadian institutionsUniversity of Windsor
Fundersnot available
KeywordsSubsistence agricultureSustainabilityFood securityLivelihoodBusinessAgricultureProduction (economics)Food systemsConsumption (sociology)Agricultural economicsDioscoreaGeographyNatural resource economicsAgroforestryEconomicsEcologyBiology

Abstract

fetched live from OpenAlex

Members of the genus Dioscorea, food yams, were introduced to Jamaica from Africa during the slave era and have remained a staple in local diets and national cuisine. Yam cultivation has also been an important economic activity providing employment for thousands of rural Jamaicans. Until the 1960s yams were grown for local use by subsistence growers for home consumption or by commercial growers for sale in local produce markets. Since then, however, yam has also grown to become an important export crop. With its value added potential virtually untouched, this crop possesses intriguing possibilities from the standpoint of food security and rural livelihoods in yam growing areas of Jamaica. At the same time there are concerns about the ecological and economic sustainability of yam farming under current conditions. In this paper we will analyze the sustainability of yam cultivation and consider concrete strategies for increasing the environmental sustainability and enhancing its contribution to food security.

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)0.001
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 score0.149
Threshold uncertainty score0.297

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0010.001
Scholarly communication0.0020.001
Open science0.0000.001
Research integrity0.0010.001
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 head0.014
GPT teacher head0.189
Teacher spread0.176 · 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

Citations36
Published2011
Admission routes1
Has abstractyes

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