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Record W4414336407 · doi:10.1080/17524032.2025.2560402

Contested Grounds: Farmer Protests, Political Imaginaries, and Environmental Futures in Rural Spain

2025· article· en· W4414336407 on OpenAlexaff
Eva-Lynn Jagoe, Marta Rocatín Centelles

Bibliographic record

VenueEnvironmental Communication · 2025
Typearticle
Languageen
FieldAgricultural and Biological Sciences
TopicAgriculture, Land Use, Rural Development
Canadian institutionsUniversity of Toronto
Fundersnot available
KeywordsPoliticsFutures contractRural areaWork (physics)Agriculture

Abstract

fetched live from OpenAlex

In Europe, farmers now make up just 4% of the population, yet their protests have commanded outsized political and media attention. This paper analyzes the symbolic and political significance of the farmer figure in contemporary Spain, where agrarian life is increasingly mobilized in struggles over national identity, rural decline, environmental stewardship, and energy transition. Through close readings of two 2022 Spanish films – As Bestas (dir. Rodrigo Sorogoyen) and Alcarràs (dir. Carla Simón) – alongside analysis of protests and media discourse, we examine how farmers are imagined across the ideological spectrum, and how they are caught between structural marginalization and symbolic centrality. By foregrounding the farmer as a cultural figure, we show how agrarian life is being reconfigured in the name of the environment, and why it matters, especially for left politics, to understand what is being lost, transformed, or claimed in this process.

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 machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.002
metaresearch head score (Gemma)0.002
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.008
Threshold uncertainty score0.028

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0060.010
Scholarly communication0.0070.002
Open science0.0010.004
Research integrity0.0020.002
Insufficient payload (model declined to judge)0.0040.000

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 head0.191
Teacher spread0.186 · 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 source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designQualitative
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

Citations2
Published2025
Admission routes1
Has abstractyes

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