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Record W4228998365 · doi:10.15765/gsst.v4i5.3049

Protocolo de evaluación de riesgos laborales frente al nuevo Coronavirus (SARS-Cov-2) "Método de evaluación semicuantitativa"

2022· article· es· W4228998365 on OpenAlexaff
Rafael Ruíz Calatrava

Bibliographic record

VenueGestión de la seguridad y la salud en el trabajo · 2022
Typearticle
Languagees
FieldPsychology
TopicStress and Burnout Research
Canadian institutionsInstitute for Clinical Evaluative Sciences
Fundersnot available
KeywordsHumanitiesSevere acute respiratory syndrome coronavirus 2 (SARS-CoV-2)Coronavirus disease 2019 (COVID-19)Political sciencePhilosophyMedicineInfectious disease (medical specialty)

Abstract

fetched live from OpenAlex

Este documento resume la metodología de Evaluación de Riesgos Semicuantitativa, material técnico elaborado por la Asociación de Servicios de Prevención Ajenos de Andalucía en colaboración con el Consejo General de Profesionales de Seguridad y Salud en el trabajo y que, fue donado sin costo para la presente publicación derivada de la ponencia del Dr. Rafael Ruiz Calatrava para el uso de los asistentes del evento e interesados.

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)0.009
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Research integrity, Insufficient payload (model declined to judge)
Consensus categoriesMeta-epidemiology (narrow)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.268
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0090.001
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0010.001
Science and technology studies0.0010.001
Scholarly communication0.0010.000
Open science0.0030.001
Research integrity0.0010.005
Insufficient payload (model declined to judge)0.0040.000

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 head0.046
GPT teacher head0.468
Teacher spread0.422 · 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; both teacher heads agree on what is shown here.

Study designObservational
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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