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Record W4405020553 · doi:10.17351/ests2024.2987

Storying Monocrop Infrastructure: A Conversation on Governance, Scale, and Failure

2024· article· en· W4405020553 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

VenueEngaging Science Technology and Society · 2024
Typearticle
Languageen
FieldAgricultural and Biological Sciences
TopicAgriculture, Land Use, Rural Development
Canadian institutionsConcordia University
Fundersnot available
KeywordsCorporate governanceSociologyScholarshipOppressionPolitical ecologyConversationEnvironmental governanceEnvironmental ethicsPolitical sciencePolitical economySocial sciencePoliticsEconomicsManagementLaw

Abstract

fetched live from OpenAlex

Plantations have recently become the focus of renewed empirical and conceptual inquiry across the social sciences, arts, and humanities. Scholarship in this interdisciplinary space calls on us to reckon with industrial monocultures’ enduring role in shaping contemporary structural inequalities, dominant technoscientific regimes, uneven divisions of labor, environmental violence, and struggles for justice, recognition, and repair. This Engagement piece contributes to these emerging currents by bringing into dialogue two scholars conducting research on monocrop systems in Latin America (Kregg Hetherington as interviewee) and Southeast Asia (Sophie Chao as interviewer). Anchored in Hetherington’s concept of “agribiopolitics,” the interview approaches monocrops through the two interrelated themes of governance and failure. Governance brings us to consider the forms of control, management, monitoring, and accountability that undergird agribiopolitical regimes, the institutions, practices, and mechanisms that make them possible, and the structures of exclusion, oppression, and violence on which they often depend. Failure brings us to attend to the limits or tipping points of governance as system and process—it’s rough edges, its unexpected failings, its uneven distribution, and how failure can be both productive and an opportunity for flight. In reflecting on ways of storying monocrops otherwise, we invite theoretical and methodological dialogue around the form and effects of anthropocenic infrastructures more broadly across the fields of science and technology studies, anthropology, critical race studies, political ecology, agrarian studies, and the environmental humanities. This interview is a revised and expanded version of an Author- Meets-Critic conversation that took place at the Society for Social Studies of Science, (4S) meeting in Cholula, Mexico, where Hetherington’s monograph, The Government of Beans, received the 2022 Rachel Carson Award.

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 score0.775
Threshold uncertainty score0.656

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0010.001
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
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 head0.005
GPT teacher head0.196
Teacher spread0.191 · 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