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Record W2155044728

Nutrition and rural development policy in Latin America: the human nutrition initiative network

2014· article· en· W2155044728 on OpenAlexaff
Juan Felipe Núñez Espinoza, Erin Tace-Nelson

Bibliographic record

VenueRedalyc (Universidad Autónoma del Estado de México) · 2014
Typearticle
Languageen
FieldAgricultural and Biological Sciences
TopicFood, Nutrition, and Cultural Practices
Canadian institutionsUniversity of Guelph
Fundersnot available
KeywordsPolitical scienceHumanitiesLatin AmericansPhilosophy
DOInot available

Abstract

fetched live from OpenAlex

"In Latin America, rural communities are increasingly suffering health problems related to both food insecurity and non-nutritious diets. In the face of insufficient government action, non-state actors have, in many cases, taken the lead in addressing this issue; however, their work is deeply intertwined with the policy contexts in which they operate. Using a comparative case study approach, this paper argues that a policy context that moves beyond a food aid approach, limiting free trade and promoting small-scale sustainable food production, can be effective at tackling nutrition issues, in part because of the synergies created with non-state organizations. The paper also highlights the importance of networking as a means of rebuilding the social fabrics of rural communities, thereby furthering development efforts."

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 distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation 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 score0.791
Threshold uncertainty score0.618

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0010.000
Scholarly communication0.0000.001
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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 head0.023
GPT teacher head0.239
Teacher spread0.216 · 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 teacher head, 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

Citations1
Published2014
Admission routes1
Has abstractyes

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