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Record W4410042909 · doi:10.1080/14649365.2025.2498950

Agencies of intimacy: fleshing out vegetal politics by exploring plant agency in gardens and produce supply chains

2025· article· en· W4410042909 on OpenAlexafffund
Sarah Elton

Bibliographic record

VenueSocial & Cultural Geography · 2025
Typearticle
Languageen
FieldSocial Sciences
TopicGeographies of human-animal interactions
Canadian institutionsUniversity of Toronto
FundersSocial Sciences and Humanities Research Council of CanadaToronto Metropolitan University
KeywordsPoliticsAgency (philosophy)Supply chainSociologyPolitical scienceSocial scienceLaw

Abstract

fetched live from OpenAlex

This article investigates plant agency and human-plant relations in two disparate sites: city vegetable gardens and pandemic produce supply chains. Drawing on posthumanist theory and data generated during two qualitative research projects in food systems, this paper explores the characteristics of plant agency to flesh out an understanding of ‘vegetal politics,’ the complicated and intimate world-making relationships between people and plants. The argument is that the relational agency of plants produced through human-plant intimacies emerges in part from the plants’ capacity to turn sun into food for humans through photosynthesis. Comparing the relational agency of plants in these two different sites reveals plant agency to be mutable, shaped by the processes and conditions of the interspecies’ relationships including mobility and immobility. Further, these agencies emerge from the plant collective. This article underlines how all plants cannot be flattened into one category of ‘plant’. Plant agency matters because plants in agri-food systems have long been bound up in the workings of power. Understanding what plants do can deepen an understanding of the current context, including justice and injustice..

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 score0.165
Threshold uncertainty score1.000

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 head0.046
GPT teacher head0.327
Teacher spread0.281 · 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

Citations3
Published2025
Admission routes2
Has abstractyes

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