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Record W4293490253 · doi:10.1089/heq.2022.0006

Undocumented Americans Need Equitable Language in Worker Training

2022· article· en· W4293490253 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueHealth Equity · 2022
Typearticle
Languageen
FieldHealth Professions
TopicOccupational Health and Safety Research
Canadian institutionsYork Central Hospital
Fundersnot available
KeywordsImmigrationCurriculumMedical educationPandemicGerontologyPsychologyMedicineCoronavirus disease 2019 (COVID-19)Public relationsPolitical sciencePedagogyInfectious disease (medical specialty)Disease

Abstract

fetched live from OpenAlex

Dear Editor: Undocumented immigrant American workers face barriers to adequate safety training and disparities in occupational health.1 The workplace plays a vital role in the lives of all Americans who perform the necessary work that keeps society functioning, including undocumented workers. It is important that workers receive training and education to perform their work safely and in a healthy manner. Since the COVID-19 pandemic, there has been a shift from in-person training and education to virtual platforms due to the need to be socially distant, including occupational health and safety (OHS) training. There was a need to integrate COVID-19 and infectious disease control and prevention curricula into broader worker training programs. Some of those OHS trainings were conducted virtually, despite barriers that existed for many, including immigrants and persons of color, in technological access, comfort, and fluency.2 Undocumented workers, often immigrants and persons of color, filled many of the roles of essential workers, and were disproportionately employed to work in-person during the COVID-19 pandemic in unsafe working conditions and environments.3 It remains unclear the effectiveness of OHS training undocumented workers received in response to the COVID-19 pandemic and in some cases if any OHS training was even offered. Public health practitioners, researchers, and program planners need to further recognize how the COVID-19 pandemic has created changes in training and education for undocumented workers, who were already facing limitations in virtual and in-person services. At a minimum, the language for OHS training needs to be appropriate for the audience and competently delivered by the instructor.4 Language, however, is not just the dialect, for example, English, Spanish, or Vietnamese, but also using the words in a context the trainees understand.5 For example, undocumented workers may fear reporting injuries on the jobsite and unsafe working conditions, despite their right to do so under federal law without employer retaliation. Simply stating a worker can report injuries may not be enough for undocumented workers. Clarifying worker rights against employer retaliation regardless of their documentation status is important and should be emphasized in OHS training programs.1 This is one of many such examples of how language of worker rights to safety and health needs to be equitable to undocumented workers. There is a need to act toward ensuring that language equity is part of OHS training. Instructors need to engage those with lived experiences of undocumented status and advocate for such audiences to support review of curricula. The input of those with lived experiences can provide context and content an instructor may not have otherwise. Instructors should develop and deliver OHS training on a platform and in a language participants understand, provide translation of materials into languages that fit possible target audiences, and use terminology framed in a practical context applicable to the target audience. To do so would better prepare and protect all workers, including our undocumented workers who equally deserve and need safe working conditions and environments.

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.

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)0.006
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesScience and technology studies, Insufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.441
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0060.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0030.000
Scholarly communication0.0000.000
Open science0.0000.001
Research integrity0.0000.002
Insufficient payload (model declined to judge)0.0050.000

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 head0.247
GPT teacher head0.563
Teacher spread0.316 · 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