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A Case for Certified Interpreters for Participants in the Canada/Mexico Seasonal Agricultural Workers Program

2009· article· en· W2036111070 on OpenAlexaffabout
Avis Mysyk, Margaret England, Juan Gallegos

Bibliographic record

VenueHuman Organization · 2009
Typearticle
Languageen
FieldAgricultural and Biological Sciences
TopicAgriculture and Farm Safety
Canadian institutionsUniversity of WindsorCape Breton University
Fundersnot available
KeywordsCertificationAgricultureContext (archaeology)BusinessInterpreterEconomic growthHealth carePolitical scienceEnvironmental healthSocioeconomicsMedicineGeographySociologyEconomics

Abstract

fetched live from OpenAlex

The rapid growth of Ontario's greenhouse vegetable industry is largely due to a guaranteed supply of Mexicans who participate in the Canada/Mexico Seasonal Agricultural Workers Program (C/MSAWP). Agriculture is a dangerous occupation and, although Mexican farm workers have the right to health care while they are in Canada, they lack access to certified interpretation services in the province's hospital and clinics. This paper draws on the results of a pilot study of 30 Mexican farm workers in southwestern Ontario to demonstrate their need for such services, not only for physical illnesses and injuries sustained on the job, but for the culturally constructed illness of nervios (nerves). It examines the barriers in access to certified interpreters, namely, the Canada Health Act and the differing agendas of primary and secondary stakeholders in the C/MSAWP. Finally, it addresses the wider economic, political, health, and social benefits of providing such services to Mexican farm workers within the context of the C/MSAWP in Ontario and, by extension, in other provinces that participate in the program.

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 machine prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.012
metaresearch head score (Gemma)0.029
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.581
Threshold uncertainty score0.832

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0120.029
Meta-epidemiology (narrow)0.0000.001
Meta-epidemiology (broad)0.0000.001
Bibliometrics0.0010.001
Science and technology studies0.0360.011
Scholarly communication0.0050.003
Open science0.0040.009
Research integrity0.0110.012
Insufficient payload (model declined to judge)0.0080.001

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.

Opus teacher head0.035
GPT teacher head0.255
Teacher spread0.220 · 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 source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designQualitative
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

Citations17
Published2009
Admission routes2
Has abstractyes

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