MétaCan
Menu
Back to cohort
Record W1490050925 · doi:10.7202/702334ar

Les besoins alimentaires de l’Afrique et la réponse du Canada : Les limites de l’aide alimentaire au développement

2005· article· en· W1490050925 on OpenAlexaffvenueabout
Mark Charlton

Bibliographic record

VenueÉtudes internationales · 2005
Typearticle
Languageen
FieldHealth Professions
TopicFood Security and Health in Diverse Populations
Canadian institutionsWestern University
Fundersnot available
KeywordsFood aidPolitical scienceFood policyWelfare economicsFood securityGeographyDevelopment economicsEconomic growthEconomicsAgriculture

Abstract

fetched live from OpenAlex

In recent years there has been an important shift in the pattern of Canadian food aid distribution towards a greater concentration on Africa. Recent projections call for increased transfers of food aid to Africa in the foreseeable future. Given the growing concern about the long-term contribution that food aid might make to increasing food sufficiency in Africa, this paper examines the concept of « developmental » food aid and its implications for Canadian food aid policy. First, the article discusses some of the problems that arise out of the provision of increased volumes of non-emergency food aid to Africa. Then, it examines the recent evolution of Canadian food aid policy with particular attention to some of the difficulties involved in implementing a strategy of providing « developmental » food aid to Africa on a long-term basis. The issues of policy dialogue, recipient selection, donor co-ordination, and food aid dependence are discussed respectively.

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)0.004
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.062
Threshold uncertainty score0.450

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.004
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.002
Science and technology studies0.0050.003
Scholarly communication0.0030.001
Open science0.0010.001
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0080.000

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 head0.132
GPT teacher head0.440
Teacher spread0.308 · 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 designNot applicable
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

Citations1
Published2005
Admission routes3
Has abstractyes

Explore more

Same venueÉtudes internationalesSame topicFood Security and Health in Diverse PopulationsFrench-language works237,207