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The Accelerating Biophysical Contradictions of Industrial Capitalist Agriculture

2010· article· en· W2127009208 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueJournal of Agrarian Change · 2010
Typearticle
Languageen
FieldAgricultural and Biological Sciences
TopicAgriculture, Land Use, Rural Development
Canadian institutionsWestern University
Fundersnot available
KeywordsAgricultureFood securityEconomicsProductivitySubsidyFood systemsIndustrialisationNatural resource economicsMarket economyBusinessEconomic growthGeography

Abstract

fetched live from OpenAlex

The productivity of industrial capitalist agriculture is central to dominant development narratives. It is also highly unstable, with intractable biophysical problems created in the substitution of labour, skill and knowledge with technology, and overridden with unsustainable ‘technological fixes’ and masked by a host of externalized costs. Relatively cheap oil is central to this, effectively subsidizing the low‐priced industrial grains and oilseeds on which global food security has come to hinge. However, the chronic biophysical contradictions of industrial capitalist agriculture are accelerating, at the same time as the surge in biofuels has augmented the still‐rising demand of livestock feed to embolden industrial producers. A period of acute and ominously regressive food price volatility looms in the short term, with more ruinous outcomes ahead. But this might also widen openings for rebuilding biodiverse food systems and remaking and valorizing agricultural work, which will involve rethinking agriculture's place in conceptions of development and modernity.

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.

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)0.000
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: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.802
Threshold uncertainty score0.276

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
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 integrity0.0000.001
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 head0.056
GPT teacher head0.222
Teacher spread0.167 · 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