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Record W7064376079

Cities and agriculture developing resilient urban food systems

2015· article· en· W7064376079 on OpenAlexfundno aff

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldEngineering
TopicSilicon and Solar Cell Technologies
Canadian institutionsnot available
FundersConsortium of International Agricultural Research CentersCentre de Coopération Internationale en Recherche Agronomique pour le DéveloppementDipartimento della Protezione Civile, Presidenza del Consiglio dei MinistriEuropean CommissionUniversity College LondonInternational Development Research CentreFP7 International CooperationWorld Wildlife Fund
KeywordsAgricultureFood systemsFood securityUrban agricultureFood supplyFood processing
DOInot available

Abstract

fetched live from OpenAlex

pour le Maintien de l'Agriculture Paysanne (Associations for the Maintenance of Peasant Agriculture) APA American Planning Association AR5 Fifth Assessment Report of the IPCC As arsenic ASF animal source food AVRDC the World Vegetable Center (formerly: "Asian Vegetable Research Centre") BMI body mass index BSE bovine spongiform encephalopathy, commonly known as mad cow disease CAP Common Agricultural Policy of the European Union CBA cost benefi t analysis CBD Convention on Biological Diversity (UN) Cd cadmium CDKN Climate Change and Development Knowledge Network (UK) CFF Cities Farming for the Future (a RUAF programme) CFS Committee on World Food Security CGIAR Consortium of 15 international agricultural research organisations (originally founded as the "Consultative Group on International Agricultural Research") CIRAD Centre de coopération Internationale en Recherche Agronomique pour le Développement Abbreviations And Acronyms xv CLT community land trusts C/N carbon/nitrogen ratio CO 2 carbon dioxide CPULs continuous productive urban landscapes Cr chromium CSA Community Supported Agriculture Cu copper CWP Center for Watershed Protection (USA) DEP Department of Environmental Protection (New York City) DPSIR Driving forces, Pressures, State, Impacts, Responses (an assessment framework) DPU Bartlett Development Planning Unit, University College London DRR disaster risk reduction ECHO European Commission's Humanitarian Aid and Civil Protection Department EKW East Kolkata Wetlands EKWMA East Kolkata Wetlands Management Authority EMPs environmental management plans ENPHO Environment and Public Health Organization (NGO, Nepal) Top of Form EPA Environmental Protection Organization (USA) FAO Food and Agriculture Organisation of the United Nations FEU family economical unit FStT From Seed to Table (a RUAF programme) GAP good agricultural practices GBH gravel bed hydroponic system GHG greenhouse gas (emissions) GIS geographical information systems HACCP hazard analysis and critical control points HighARCS Highland Aquatic Resources Conservation and Sustainable development project (EU) HIV human immunodefi ciency virus HOPSCOM Horticulture Cooperative Horticulture Marketing Society (India) IAP integrated action plan ICLEI ICLEI-Local Governments for Sustainability (founded as the International Council for Local Environmental Initiatives; an international association of local governments) ICM impervious cover model ICRC the International Committee of the Red Cross (Switzerland) ICRISAT International Crops Research Institute for the Semi-Arid Tropics IDPs internally displaced persons

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)0.000
metaresearch head score (Gemma)0.000
Version: metacan-v3-hybrid-931329e0061cValidation 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 score0.023
Threshold uncertainty score0.045

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.002
Science and technology studies0.0020.003
Scholarly communication0.0050.002
Open science0.0000.003
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0130.001

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.

Opus teacher head0.024
GPT teacher head0.192
Teacher spread0.168 · 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 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".

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Citations1
Published2015
Admission routes1
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