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Record W1982367868 · doi:10.1080/19376812.2013.791630

‘Abandoning’ farms in search of food: food remittance and household food security in Ghana

2013· article· en· W1982367868 on OpenAlexaff
Vincent Kuuire, Paul Mkandawire, Godwin Arku, Isaac Luginaah

Bibliographic record

VenueAfrican Geographical Review · 2013
Typearticle
Languageen
FieldSocial Sciences
TopicMigration and Labor Dynamics
Canadian institutionsCarleton UniversityWestern University
Fundersnot available
KeywordsRemittanceFood securityLivelihoodPovertyAgricultureContext (archaeology)SocioeconomicsEconomicsEconomic growthDevelopment economicsGeographyBusiness

Abstract

fetched live from OpenAlex

This paper examines the important place of food remittances in the context of household food security in the Upper West Region (UWR) of Ghana against a backdrop of rapid environmental change and accelerating rural poverty. Findings from in-depth interviews conducted in the UWR show a tendency toward increased dependence of rural poor families on food remittance as a strategy for coping with chronic household food insecurity amidst poverty, changing patterns of rainfall and declining soil fertility. In addition, the study also shows that while food remittance entailed spatial dispersion of the household in a context where certain household members migrate to distant agricultural-rich hinterlands, engage in migrant farming and remit agricultural produce back home, the strategy nonetheless leads to the strengthening of familial and kinship ties. The study concludes by making relevant policy recommendations that would improve household livelihood 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)0.001
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: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.016
Threshold uncertainty score0.032

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.002
Science and technology studies0.0000.001
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 head0.027
GPT teacher head0.282
Teacher spread0.255 · 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

Citations75
Published2013
Admission routes1
Has abstractyes

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