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Record W3013104521 · doi:10.1111/joac.12360

From a free gift of nature to a precarious commodity: Bees, pollination services, and industrial agriculture

2020· article· en· W3013104521 on OpenAlexafffundabout
Rebecca Ellis, Tony Weis, Sainath Suryanarayanan, Katarzyna Olga Beilin

Bibliographic record

VenueJournal of Agrarian Change · 2020
Typearticle
Languageen
FieldAgricultural and Biological Sciences
TopicInsect and Pesticide Research
Canadian institutionsWestern University
FundersSocial Sciences and Humanities Research Council of Canada
KeywordsOutreachPollinationPollinatorAgricultureEcosystem servicesDialecticCommodityEcologyBiologyPolitical scienceSociologyBusinessEconomic growthEconomicsEcosystemMarket economy

Abstract

fetched live from OpenAlex

Abstract The growing crisis of bee health has shone a spotlight on the problems facing pollinator populations in many parts of the world, the worrying implications for agriculture and ecosystems, and some of the risks of pesticides. Although this attention is important and can open a range of critical vistas, the threats to bees, other pollinators, and the future of pollination are too often framed in narrow ways. The goal of this paper is to provide a systematic way of thinking about the crisis of bee populations by examining the changing dynamics of pollination within industrial agriculture, drawing heavily on transformations in the United States and Canada. We set out a case for understanding pollination as a biophysical barrier to industrial organization and the rise of pollination services as a response that temporarily fixes (or overrides) this barrier, while containing an internal set of contradictions and overrides. We argue that these dialectic relations are continually generating further problems and hope that this lens can help inform critical education, outreach, and movement building with respect to the urgent problems of bee and pollinator health. In particular, we stress the need to connect growing bee‐related advocacy with struggles to confront industrial capitalist agriculture.

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)0.000
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 score0.714
Threshold uncertainty score0.226

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 head0.068
GPT teacher head0.258
Teacher spread0.190 · 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

Citations41
Published2020
Admission routes3
Has abstractyes

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