Capital espacial entre los trabajadores agrícolas mexicanos en contextos de trabajo no libre en Canadá
Bibliographic record
Abstract
espanolEn el articulo se examina el capital espacial adquirido por los trabajadores agricolas mexicanos en Canada como un activo que puede brindarles un poder o una influencia en contextos de trabajo no libre. Se propone pensar el mercado laboral agricola como un campo bourdiano. Se recurre a un enfoque cualitativo, apoyado en cinco entrevistas individuales y dos colectivas efectuadas en 2011 en granjas y espacios publicos en la zona periferica de la Region de Montreal, Quebec. Fragmentos de las entrevistas permiten observar el espacio como sitio de conflicto y como un tipo de capital que confiere a los trabajadores la capacidad de agencia para enfrentarse a las relaciones de dominacion y subordinacion del “campo del trabajo temporal agricola migrante en Canada”, asi como al aislamiento y exclusion socioespacial. Tambien se observan otras formas de capital como el linguistico y el social, los cuales permiten generar y elevar el capital espacial. EnglishThe article examines the spatial capital acquired by Mexican agricultural workers in Canada as an asset that can give them power of influence in contexts of unfree labour. It proposes to think about agricultural labour markets as fields, after Bourdieu. A qualitative approach is used, and the text is based on five individual and two collective interviews conducted in 2011 on farms and in public spaces in the peripheral area of the Montreal Region, Quebec. Fragments of the interviews allow us to observe the space as a site of conflict and as a capital that gives workers the capacity for agency which allows them to confront relations of domination and subordination in the “field of migrant agricultural seasonal work in Canada”, and o confront socio-spatial isolation and exclusion. Other forms of capital are also observed, such as linguistic and social, which allow spatial capital to be to generate and increased.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot 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.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 0.001 |
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; both teacher heads agree on what is shown here.
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".