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Record W4281647519 · doi:10.1111/ilrs.12244

Retos de seguridad y salud en el trabajo para la gente de mar en actividades esenciales durante la pandemia mundial de COVID‐19

2022· article· es· W4281647519 on OpenAlexaff
Desai Shan

Bibliographic record

VenueRevista Internacional del Trabajo · 2022
Typearticle
Languagees
FieldEngineering
TopicMaritime Navigation and Safety
Canadian institutionsHealth Sciences CentreMemorial University of Newfoundland
Fundersnot available
KeywordsCoronavirus disease 2019 (COVID-19)Humanities2019-20 coronavirus outbreakSevere acute respiratory syndrome coronavirus 2 (SARS-CoV-2)Political scienceGeographyArtMedicineVirology

Abstract

fetched live from OpenAlex

Resumen La pandemia de COVID‐19 ha transformado el mundo del trabajo, pero el comercio mundial sigue considerándose una esfera de actividad esencial y el transporte marítimo, como motor de la globalización, no puede detenerse. En este contexto, pocos Gobiernos han permitido a la gente de mar —que transporta más del 90 por ciento de las mercancías mundiales— abandonar sus barcos y regresar a casa. Las restricciones de viaje relacionadas con la COVID‐19 han provocado una crisis de seguridad y salud en el trabajo marítimo. Este artículo, basado en 29 entrevistas, explora los retos de SST que ha afrontado la gente de mar de todo el mundo durante la pandemia.

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)0.003
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Insufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.769
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0030.001
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0000.002
Insufficient payload (model declined to judge)0.0020.000

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 head0.015
GPT teacher head0.308
Teacher spread0.293 · 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 designNot applicable
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

Citations0
Published2022
Admission routes1
Has abstractyes

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