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Record W2586100493 · doi:10.1093/eurpub/el_257

Chronic and Recent Starvation and Malnourishment

2011· article· en· W2586100493 on OpenAlexaff
Jacob Levman

Bibliographic record

VenueEuropean Journal of Public Health · 2011
Typearticle
Languageen
FieldEnvironmental Science
TopicClimate Change and Health Impacts
Canadian institutionsSunnybrook Health Science CentreUniversity of Toronto
Fundersnot available
KeywordsStarvationMalnutritionMedicineInternal medicine

Abstract

fetched live from OpenAlex

In 2008 and late 2010, the world experienced marked increases in the prices for many basic food staples. News reports have focused on these increases in food prices and the resultant associated increase in levels of worldwide food insecurity. The shock of recent dramatic food price increases has motivated many vulnerable people to protest and riot thus attracting attention to the problem of rising food costs. However, the issue of inadequate food leading to starvation and malnourishment has longbeen a chronic problem receiving little attention. Evaluation of the size of chronic food problems is challenging due tolimited data on the issue. The United Nations has put the number of malnourished people at 925 million [1]. Dr. David Pimentel of the College of Agriculture and Life Sciences at Cornell University writes in the journal Science, claiming that the true number of malnourished may in factbe closer to 3 times this amount when factoring in a wide range of definitions of malnourishment (including calorie, protein, vitamins, iron and iodine deficiencies) [2]. The United Nations has claimed that prior torecent dramatic food price increases, 36 million malnourished people die each year [3]. It can be difficult to evaluate the scope of such large numbers. In order to put the mortality figure of 36 million annual deaths [3] in perspective, it is about 3 times the average annual death rate due to World War II, one of the planet's deadliest wars. The United Nations figures are an estimation of the scope of the problem. Estimates need to be employed since adequate statistics are not kept in many of the world's nations with significant malnourishment problems. Correcting food problems will involve assisting regions experiencing high levels of malnourishment to produce more food. Accomplishing this requires increased public awareness which is typically critical for organizing governments towards committing more resources to rectifying thesituation. While food handouts are necessary for helping people's immediate hunger problems, assisting regions to produce adequate amounts of food is preferential in order to both keep down the costs of solving chronic food problems along with encouraging self-sufficiency in regions suffering from malnourishment. At present, relatively meager amounts of public funds are devoted to world food problems. The chronic food crisis receives scant attention compared with many other issues the world faces and the main publicly funded agency devoted to helping with world food problems (the United Nations World Food Programme) receives funding of just 3 to 4 billion dollars per year, a very small amount compared to the budgets of modern nations. Alleviating world food problems should involve a wide variety of complimentary methods including fertilizer and soil donations, providing paying jobs to help the hungry, food handouts, researching genetically engineered foods and assisting poor farmers to make use of newly developedtechnologies and farming methods. The situation would also be improved by ending the diversion of food to fuel, most commonly in the form of the United States' corn crops being turned into ethanol. The chief economist of the U.S. department of agriculture has estimated that the diversion of corn to fuel accounts for one fifth of the U.S. corn crop [4]. If that corn were sold as food rather than diverted to ethanol production then theincreased supply would cause corn prices to fall which would help poor corn consumers. In addition, financial trading institutions have been investing in the price of food which in turn has the effect of raising thecost of basic staples. Testimony before the United States Senate has indicated that investments in this area have increased from $13 billion dollars in 2003 to $260 billion dollars in 2008 [5]. The price of 25 staples have increased by an average of 183% over those five years. World food problems warrant far more attention from the public and the world's political leaders than is presently received. The United Nations estimates that malnutrition affects approximately one seventh of the world's population [1]. A separate report from the United Nations alsoestimates that the malnourished account for 58% of worldwide deaths [3]. Addressing the food crisis has the potential to save millions of lives worldwide. References: [1] "Global hunger declining, but still unacceptably high," Food and Agriculture Organization of the United Nations, Economic and Social Development Department, September 2010. [2] David Pimentel and John Morse, "Malnutrition, Disease, and the Developing World," Science, Vol. 300(5617), April 2003. [3] Jean Ziegler, "Economic, Social and Cultural Rights," United Nations Economic and Social Council, February 2001. [4] K. Collins, Chief Economist, U.S. Department of Agriculture, "Statement Before the U.S. Senate Committee on Agriculture, Nutrition, andForestry," January 10, 2007. [5] Michael W. Masters, Masters Capital Management, LLC, "Testimony Before the Committee on Homeland Security and Governmental Affairs, UnitedStates Senate," May 20, 2008. Conflict of Interest: Dr. Levman has written on food issues on his blog Spotlight-on-Science.com, on the website The-Global-Standard.com and in his book Spontaneous Combustion.

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 score0.017
Threshold uncertainty score0.033

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.004
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.001
Bibliometrics0.0010.001
Science and technology studies0.0010.001
Scholarly communication0.0010.001
Open science0.0000.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0030.000

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 head0.217
GPT teacher head0.313
Teacher spread0.095 · 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".

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Citations0
Published2011
Admission routes1
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