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Record W2401644939 · doi:10.14288/1.0166128

Assessment of current status and modeling of future capacity for land based food self-reliance in southwest British Columbia

2015· article· en· W2401644939 on OpenAlexaboutno aff
Caitlin Dorward

Bibliographic record

VenuecIRcle (University of British Columbia) · 2015
Typearticle
Languageen
FieldHealth Professions
TopicFood Security and Health in Diverse Populations
Canadian institutionsnot available
Fundersnot available
KeywordsGeographyCurrent (fluid)Environmental planningLand useEnvironmental resource managementEnvironmental protectionEnvironmental scienceEngineeringGeologyCivil engineeringOceanography

Abstract

fetched live from OpenAlex

There is growing awareness that climate change, economic instability, resource limitations and population growth are profoundly impacting the capacity of the contemporary global food system to meet human nutrition needs. Although there is widespread recognition that food systems must evolve in the face of these issues, a polarized debate has emerged around the merit of global-verses-local approaches to this evolution. Local food system advocates argue that increasing food self-reliance will concomitantly benefit human health, the environment, and local economies, while critics argue that only a globalized system will produce enough calories to efficiently and economically feed the world. This debate largely takes place in absence of knowledge of the current food self-reliance status of specific regions and capacity to increase it in the future. This study addressed this knowledge gap by developing methods to assess current (2011) status and model future (2050) capacity for land based food self-reliance in a diet satisfying nutritional recommendations and food preferences that accounts for seasonality of crop production, and comparing self-reliance in livestock raised with and without locally produced feedstocks. The methods were applied to the southwest British Columbia bio-region (SWBC). Results indicated that SWBC production of feed and food grain is a major constraint on self-reliance. Total dietary self-reliance of SWBC was 12% in 2011 if discounting livestock feed imports or 40% if including them. Self-reliance could be increased in 2050 in a Localized food system in which crops are allocated to agricultural lands in a manner that maximizes food self-reliance, but not in a Business as Usual (BAU) food system in which crop and livestock production follows 2011 patterns. The average of nine modeled scenarios for 2050 food self-reliance in the Localized food system was 26% if discounting livestock feed imports or 44% if including livestock raised with imported feed, and in the BAU food system was 8% and 23% respectively. Analysis revealed that both food systems are more sensitive to changes in farmland availability than climate change-induced changes in crop yield. Land use results indicate that horticultural crop production would dominate farmland use in a scenario of increased food self-reliance.

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)0.001
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Simulation or modeling · Consensus signal: Simulation or modeling
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.032
Threshold uncertainty score0.144

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0010.001
Scholarly communication0.0020.000
Open science0.0010.001
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0020.000

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 head0.106
GPT teacher head0.336
Teacher spread0.229 · 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 designSimulation or modeling
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

Citations2
Published2015
Admission routes1
Has abstractyes

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