MétaCan
Menu
Back to cohort
Record W3096254374 · doi:10.1080/02255189.2020.1834361

Contemporary pathogens and the capitalist world food system

2020· article· fr· W3096254374 on OpenAlexaffvenue
A. Haroon Akram‐Lodhi

Bibliographic record

VenueCanadian Journal of Development Studies/Revue canadienne d études du développement · 2020
Typearticle
Languagefr
FieldAgricultural and Biological Sciences
TopicAgriculture, Land Use, Rural Development
Canadian institutionsTrent University
Fundersnot available
KeywordsWorld-systemFood systemsPandemicCoronavirus disease 2019 (COVID-19)Capital (architecture)Capitalist systemSevere acute respiratory syndrome coronavirus 2 (SARS-CoV-2)Political economyMarket economyPolitical scienceBusinessEconomic systemCapitalismDevelopment economicsBiologyEconomicsFood securityGeographyAgricultureEcologyPoliticsLawDiseaseInfectious disease (medical specialty)

Abstract

fetched live from OpenAlex

Zoonotic diseases like SARS-CoV-2, the virus that has caused the COVID-19 pandemic, are human bacterial and viral infections that originate in animals and which cross the species barrier. Over the course of the twenty-first century, the process of viruses transiting across the species barrier appears to have accelerated as a succession of new diseases has emerged. This paper argues that the forces accelerating the emergence of zoonotics lie in the structural characteristics of the capitalist world food system, which is concerned with the production of commodities whose value can be realised through market sales that generate profits for the producer of the commodities. However, the COVID-19 pandemic has thrown the capitalist world food system onto the precipice of a crisis, if crisis is understood as an interruption in the process of capital accumulation, because the terms and conditions by which the capitalist world food system operates serve to simultaneously multiply and deepen threats to global health. In other words, there is a co-morbidity between COVID-19 and the capitalist world food system.

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)0.002
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Science and technology studies
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.581
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.001
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.001
Science and technology studies0.0020.001
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0000.001
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 head0.066
GPT teacher head0.200
Teacher spread0.134 · 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.

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".

Quick stats

Citations21
Published2020
Admission routes2
Has abstractyes

Explore more

Same venueCanadian Journal of Development Studies/Revue canadienne d études du développementSame topicAgriculture, Land Use, Rural DevelopmentFrench-language works237,207