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Record W3092767138 · doi:10.1177/1049732320964262

Exploring the Link Between the Hazards and Value of Work, and Overcoming Risk for Community-Based Health Interventions for Immigrant Latinx Low-Wage Workers

2020· article· en· W3092767138 on OpenAlexfundno aff
Isabel Cuervo, Emma K. Tsui, Nadia Islam, Homero Harari, Sherry Baron

Bibliographic record

VenueQualitative Health Research · 2020
Typearticle
Languageen
FieldHealth Professions
TopicEmployment and Welfare Studies
Canadian institutionsnot available
FundersNational Institute of Environmental Health SciencesCenters for Disease Control and PreventionNational Center for Chronic Disease Prevention and Health PromotionYork UniversityNew York University
KeywordsOperationalizationCognitive reframingPsychological interventionAgency (philosophy)Health promotionWork (physics)Focus groupValue (mathematics)PrideImmigrationPsychologyGerontologySociologyPublic relationsSocial psychologyMedicinePublic healthNursingPolitical scienceSocial science

Abstract

fetched live from OpenAlex

= 97) originating from two separate community-engaged studies that originally centered on exploring barriers to health and hazards of work among immigrant Latinx women and men to explore the role of work in their overall health and well-being. The three major interrelated themes we drew from this research-hazards of work, value of work, and building agency to overcome risk-provide insights that can help to reframe and begin to operationalize how community-based health promotion practice might better incorporate workplace issues for Latinx low-wage workers. The value of work, and its subtheme, pride in performing well specifically, could be engaged by workers to actively change conditions for themselves and others. We discuss findings in light of previous occupational health research and implications for community-based intervention design and practice.

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 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)0.037
metaresearch head score (Gemma)0.004
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMetaresearch, Science and technology studies
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.446
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0370.004
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.001
Science and technology studies0.0080.001
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.002
Insufficient payload (model declined to judge)0.0000.000

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 head0.751
GPT teacher head0.625
Teacher spread0.127 · 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 teacher head, not a consensus.

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

Citations7
Published2020
Admission routes1
Has abstractyes

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