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Record W4307327427 · doi:10.4000/remi.21318

Subcontracted Migrant Labour and Just-in-time Retail Chain Requirements: A Qualitative Research on the Bagged Salad Commodity System in Northern Italy

2022· article· en· W4307327427 on OpenAlex
Martina Lo Cascio, Domenico Claudio Perrotta

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

VenueRevue européenne de migrations internationales · 2022
Typearticle
Languageen
FieldBusiness, Management and Accounting
TopicGlobal trade, sustainability, and social impact
Canadian institutionsLockheed Martin (Canada)
Fundersnot available
KeywordsCommodityFlexibility (engineering)Commodity chainBusinessProduction (economics)Migrant workersLabour economicsRetail tradeCommerceIndustrial organizationEconomicsEconomic growthManagementFinance

Abstract

fetched live from OpenAlex

This article focuses on the commodity system of the ready-to-eat bagged salad in Italy, and in particular on the transformations in labour organization and labour relationships in processing plants in the Lombardy Region. Here, the most part of employees are migrant workers, especially of Indian origin. Our analysis concerns three main points. First, a relevant part of the labour operations in processing plants are outsourced to smaller manufacturers or subcontracted to workers’ cooperatives, which mainly employ migrant workers, with the aim of reducing labour costs and reaching a greater production flexibility. Second, labour organization and working shifts are explicitly organized to meet retail chains’ just-in-time requirements. Third, some trade unions officers act as mediators between management and migrant workers in defining labour organization in the processing plants. The field study is based upon thirty-eight in-depth interviews with actors at all the levels of this commodity chain.

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)0.005
metaresearch head score (Gemma)0.002
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 score0.634
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0050.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0010.000
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 head0.104
GPT teacher head0.353
Teacher spread0.250 · 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