J’y vais sur le champ!: narrativas mediáticas en clave biopolítica sobre los trabajadores agrícolas latinos en Quebec durante la pandemia del Covid-19
Bibliographic record
Abstract
Este artículo analiza la cobertura de la La Presse, Le Journal de Montréal, Le Soleil, Le Devoir y Radio Canada sobre los trabajadores temporales agrícolas mexicanos y guatemaltecos en Quebec, Canadá, entre marzo de 2020 y marzo de 2021. Los relatos producidos por la cobertura de los medios de comunicación articularon narrativas en los que los obreros latinoamericanos son construidos desde tres registros: 1) a partir de sus cualidades “naturales” para la dura faena agrícola, mientras que los quebequenses son presentados como “no aptos” para el campo, 2) como “esenciales” para detener la crisis de la industria agrícola y 3) como víctimas de sus empleadores y vulnerables al contagio del virus. Argumento que las narrativas mediáticas visibilizan diferentes dimensiones de una economía biopolítica que deshumaniza a estos obreros agrícolas y los convierte en una pieza esencial de la seguridad alimentaria de la provincia y la nación. Simultáneamente, los medios presentan relatos en los que los humanizan, desde testimonios y denuncias de organismos de derechos humanos.
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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 | 0.002 | 0.004 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.024 | 0.013 |
| Scholarly communication | 0.008 | 0.003 |
| Open science | 0.001 | 0.004 |
| Research integrity | 0.003 | 0.004 |
| Insufficient payload (model declined to judge) | 0.011 | 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; 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".