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Record W74871356

Agropolis: The Role of Urban Agriculture in Addressing Food Insecurity in Developing Cities

2014· article· en· W74871356 on OpenAlexaboutno aff
Milica Koscica

Bibliographic record

VenueJournal of international affairs · 2014
Typearticle
Languageen
FieldAgricultural and Biological Sciences
TopicUrban Agriculture and Sustainability
Canadian institutionsnot available
Fundersnot available
KeywordsFood securityUrbanizationPopulationUrban agricultureAgriculturePopulation growthFood systemsPovertyEconomic growthAgricultural economicsFood processingPer capitaBusinessGeographyDevelopment economicsEconomicsPolitical scienceEnvironmental health
DOInot available

Abstract

fetched live from OpenAlex

Over fifty percent of the world's population is urbanized--living in cities--and cities almost entirely depend on imported food to meet daily needs. Different factors such as population growth, urbanization, and increasing global demand for food are intensifying; urban agriculture is an important tool for enhancing food security in response to the food-related restraints faced by city dwellers. Through a historical retrospective of urban agriculture to an analysis of current practices and policies, this article explores urban agriculture's potential ability to manage the lack of land and water in cities through the development of innovative growing techniques that optimize the access, quantity, and quality of food for millions of people in developing cities around the globe. ********** As population growth, swelling food demand, and rising rates of urban poverty combine to threaten the availability of food to the urban poor, addressing food insecurity--the inability to consistently access quality food--has become increasingly important. For the first time in the history of civilization, most people now live in cities, which almost entirely depend on imported food to meet daily needs. Yet, as world population continues to grow, reaching a projected 9.6 billion people within the next thirty-five years, global food demand is similarly projected to increase between 70 and 100 percent, depending on future per capita income. (1) Current available cropland and production levels will be unable to keep pace. Meeting future demand would require either clearing an additional landmass the size of Brazil to create land on which to farm, or more extensive use of chemical fertilizers, both of which are unsustainable and environmentally harmful. (2) As the current and unprecedented trend of rural-to-urban migration continues, the level of world urban dwellers is expected to reach 70 percent by 2050. (3) Research also indicates that the have been urbanizing even more rapidly than the population as a whole. (4) Noting that most urban population growth is expected to occur in developing cities, the global food price crises of 2008 and 2011 underscored the extent of vulnerability and food insecurity of the poor in these areas. In response to these trends, a debate regarding the role of urban agriculture in addressing availability and access to quality food for the urban poor has emerged. Many believe that urban agriculture struggles to produce enough food due to fierce competition for scarce urban resources such as land and water. Additionally, concerns have been raised regarding the health risks associated with urban agricultural runoff and possible soil contamination. Some consider the term urban agriculture as inherently contradictory, but on the other hand, one could argue that urban agriculture not only overcomes these constraints, but also addresses them in an innovative and integrative manner to optimize access, quantity, and quality of food for the urban poor. This paper first describes urban agriculture and its scale in the developing world regions. It then analyzes urban agricultures's main constraints--land, water, and health risks--to reveal how these constraints are transformed into opportunities that tackle food insecurity issues. Finally, the paper concludes with a look toward future possibilities and suggestions for further research. URBAN AGRICULTURE: CHARACTERISTICS AND SIGNIFICANCE Although urban agriculture has only recently garnered conceptual attention in international development debates, its practice is not a recent phenomenon. Cities in the Classic Maya civilization and the Byzantine Empire incorporated various forms of urban farming to address food security by building resilience against shocks and sudden interruptions in supply lines. (5) During the First and Second World Wars, countries such as the United States, England, and Canada encouraged city dwellers to plant victory gardens to support the war effort. …

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)0.001
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: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.041
Threshold uncertainty score0.145

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
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 head0.012
GPT teacher head0.212
Teacher spread0.200 · 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

Citations9
Published2014
Admission routes1
Has abstractyes

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