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Record W6986493255

Pomodori e Miseria: An Anthropology of Caporalato and the Exploitation of Migrant Agricultural Labourers in Italian Tomato Production

2023· dissertation· en· W6986493255 on OpenAlexfundno aff

Bibliographic record

VenueThe Atrium (University of Guelph) · 2023
Typedissertation
Languageen
FieldAgricultural and Biological Sciences
TopicAgriculture, Land Use, Rural Development
Canadian institutionsnot available
FundersGovernment of Ontario
KeywordsAgricultureAgency (philosophy)EthnographyGlobalizationProduction (economics)Migrant workersAgricultural productivityPhenomenon
DOInot available

Abstract

fetched live from OpenAlex

This research focuses on understanding the phenomenon of caporalato – an Italian-based system of migrant agricultural labour exploitation. It considers the historical and ethnographic contexts within which migrant agricultural labour are embedded to understand the ongoing exploitation faced by migrants involved in Italian tomato production. This research investigates caporalato through an examination of its development and the systemic relationships that maintain its exploitative practices and usage of migrant labour. The findings demonstrate that globalization has re-organized traditional Italian food systems, introduced migrants as a primary source of agricultural labour, obfuscated forms of exploitation, and rendered invisible the experiences of migrants. Additionally, the processes that facilitate organization of agricultural labour for production of Italian tomatoes are found to be sites of contested control where corporate, private, and organized crime interests intersect against the limited agency of often undocumented migrants within a structuralized system of agricultural labour exploitation.

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 score0.833
Threshold uncertainty score0.996

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 studies0.0000.000
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 head0.015
GPT teacher head0.213
Teacher spread0.199 · 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

Citations0
Published2023
Admission routes1
Has abstractyes

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