Analyse de la situation de l’insécurité alimentaire dans les pays avancés dits ‘’développés’’ et en République démocratique du Congo (Synthèse bibliographique)
Bibliographic record
Abstract
Introduction. L’insécurité alimentaire est un problème qui concerne tous les pays, et ce, peu importe leur niveau de développement. Pour y faire face, les différents gouvernements tentent de mettre en place des politiques et interventions afin de l’éradiquer. Le présent article est une revue de littérature ayant pour but de présenter, de façon non exhaustive, des politiques et interventions mises en place dans des pays avancés comme les États-Unis et le Brésil, mais également dans un pays en voie de développement – la République démocratique du Congo (RDC).Littérature. Les pays avancés, à défaut de réussir à mettre en place des politiques efficaces permettant de s’attaquer aux causes structurelles de l’insécurité alimentaire, concentrent leurs efforts vers des politiques d’aide alimentaire dont l’efficacité à résoudre le problème d’insécurité alimentaire demeure mitigée. En RDC, la situation est bien plus complexe en raison de la multitude de facteurs à l’origine du problème, notamment les crises politiques, les conflits armés ou encore les faiblesses institutionnelles. De nombreux programmes mis en place pour éradiquer l’insécurité alimentaire n’ont toujours pas porté de fruits dans ce pays où près de 40 % la population est concernée par ce problème.Conclusion. Dans les pays avancés ou ceux en voie de développement, les efforts pour lutter contre l’insécurité alimentaire devront se concentrer de façon plus efficace sur les causes structurelles à l’origine des inégalités sociales qui entretiennent cette situation. Introduction. Food insecurity is a problem that affects all countries, regardless of their level of development. Governments are trying to put in place policies and interventions to eradicate it. The purpose of this article is to present a non-exhaustive literature review of the policies and interventions implemented in advanced countries such as the United States and Brazil, but also in a developing country - the Democratic Republic of Congo (DRC).Literature. Advanced countries have failed to implement effective policies to address the structural causes of food insecurity, concentrating their efforts on food aid policies whose effectiveness in resolving the problem of food insecurity remains mitigated. In the DRC, the situation is far more complex due to the multitude of factors at the origin of the problem, including political crises, armed conflicts and institutional weaknesses. Numerous programs put in place to eradicate food insecurity have still not produced results in this country, where almost 40 % of the population is affected by the problem.Conclusion. In both advanced and developing countries, efforts to address food insecurity will need to focus more effectively on the structural causes of the social inequalities that contribute to this situation.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot 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.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.003 | 0.007 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.013 | 0.029 |
| Science and technology studies | 0.002 | 0.002 |
| Scholarly communication | 0.006 | 0.002 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.017 | 0.001 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".