MétaCan
Menu
Back to cohort
Record W2165611872 · doi:10.1111/imig.12097

Linking Food Security, Migration and Development

2013· article· en· W2165611872 on OpenAlexaff
Jonathan Crush

Bibliographic record

VenueInternational Migration · 2013
Typearticle
Languageen
FieldHealth Professions
TopicFood Security and Health in Diverse Populations
Canadian institutionsBalsillie School of International Affairs
FundersUnited States Agency for International Development
KeywordsFood securityConversationFood insecurityPolitical scienceEconomic growthAgricultureDevelopment economicsSociologyEconomicsGeography

Abstract

fetched live from OpenAlex

Abstract The issue of food security is strikingly absent from current debates about the relationship between migration and development. The current international food security agenda displays a similar disregard for migration. There thus appears to be a massive disconnect between these two global development agendas. The reasons are hard to understand since the connections between migration and food security seem obvious. This article addresses possible reasons for the disconnect and then presents and discusses the implications for linking migration and food security of a recent survey in 11 African cities. The results show a consistent pattern of difference between urban migrant and non‐migrant households in relation to levels of food insecurity, sources of income, food procurement strategies, and participation in urban agriculture. This article therefore seeks to initiate a conversation between the separate worlds of migration and development on the one side, and food security on the other.

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)0.002
metaresearch head score (Gemma)0.003
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: Empirical
Teacher disagreement score0.006
Threshold uncertainty score0.022

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.003
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.002
Science and technology studies0.0020.007
Scholarly communication0.0030.002
Open science0.0000.006
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0060.000

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 head0.121
GPT teacher head0.412
Teacher spread0.290 · 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

Citations127
Published2013
Admission routes1
Has abstractyes

Explore more

Same venueInternational MigrationSame topicFood Security and Health in Diverse PopulationsFrench-language works237,207