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Record W1977752320 · doi:10.1353/ces.2014.0008

Essentiels, fiables et invisibles : Les travailleurs agricoles migrants latino-américains au Québec vus par la population locale

2014· article· en· W1977752320 on OpenAlexvenueaboutno aff
Danièle Bélanger, Guillermo Candiz

Bibliographic record

VenueCanadian ethnic studies · 2014
Typearticle
Languageen
FieldSocial Sciences
TopicSocial Sciences and Governance
Canadian institutionsnot available
Fundersnot available
KeywordsPolitical scienceHumanitiesArt

Abstract

fetched live from OpenAlex

In the province of Québec, the number of foreign temporary workers has increased by 40% between 2000 and 2010, with 30,307 entries in 2010.The foreign seasonal workers employed in the agricultural sector, most of them coming from Mexico and Guatemala, contribute towards this increase. The research on the situation in Quebec, and anywhere else in Canada and in other countries, show the precarious and vulnerable situation connected with the status of the temporary low skill worker. In this article, we analyse the standpoint of local communities on the migrant temporary farm workers in terms of social representations. We base our analysis on twenty interviews conducted in 2012, in a rural area close to Quebec City, with key actors belonging to one or the other of the following categories: municipal elected officials, business owners, service providers (public or private) and residents locally active as citizens. The results show that migrants are seen as vital and essential labour, as ideal workers of higher quality than other farm workers, and as an “invisible” population. The interviews indicate that the social construction of these migrants stem from a process of positive racialization, from cultural differentiation, as well as from social and spatial exclusion. We discuss the close relation between the programs’ structure that manages the employment and the residence of these migrants, on the one hand, and on the other hand, how the local actors view those same migrants.

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)0.001
metaresearch head score (Gemma)0.001
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 score0.535
Threshold uncertainty score0.929

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
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 head0.120
GPT teacher head0.384
Teacher spread0.264 · 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

Citations13
Published2014
Admission routes2
Has abstractyes

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