Essentiels, fiables et invisibles : Les travailleurs agricoles migrants latino-américains au Québec vus par la population locale
Bibliographic record
Abstract
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.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot 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.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.009 | 0.005 |
| Scholarly communication | 0.004 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.004 | 0.000 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".