MétaCan
Menu
Back to cohort
Record W4388856488 · doi:10.46990/iquatro.2023.11.1.6

Capítulo 6. El trabajo decente desde la perspectiva de directores y directoras en las micro y pequeñas empresas de San Francisco de los Romo, Aguascalientes, México.

2023· book-chapter· es· W4388856488 on OpenAlexaff
Claudia Verónica Muñoz Esparza, Francisco Javier Torres Rojas, María Cecilia Moreno Nungaray, María Guadalupe Rodríguez Palomino

Bibliographic record

Venuenot available
Typebook-chapter
Languagees
FieldHealth Professions
TopicOccupational Health and Safety in Workplaces
Canadian institutionsWSP (Canada)
Fundersnot available
KeywordsGeography

Abstract

fetched live from OpenAlex

La agenda 2030 de la Asamblea General de Naciones Unidas (AGNU) propone el logro de condiciones de trabajo decente de todo trabajador en el mundo. El objetivo de esta investigacin es caracterizar el trabajo decente (TD) desde la perspectiva de los directivos de las micro y pequeas empresas en San Francisco de los Romo, Aguascalientes, Mxico. La hiptesis es que existen diferencias significativas en la percepcin del TD dependiendo del giro de la empresa y del nivel educativo del directivo. Se llev a cabo un estudio cuantitativo con una muestra de 310 directivos, a quienes se les aplic la escala de trabajo decente para empresarios (TDE). Los resultados indican que los directivos tienen una percepcin regular del TD sin diferencias significativas por giro o nivel educativo, lo que sugiere la homogeneidad en la percepcin de los sujetos y la necesidad de estrategias generales para mejorar la percepcin de los sujetos respecto de cada dimensin.

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)0.004
metaresearch head score (Gemma)0.002
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Science and technology studies, Research integrity, Insufficient payload (model declined to judge)
Consensus categoriesMeta-epidemiology (narrow), Research integrity, Insufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Other · Consensus signal: none
Teacher disagreement score0.255
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0040.002
Meta-epidemiology (narrow)0.0020.002
Meta-epidemiology (broad)0.0020.001
Bibliometrics0.0010.000
Science and technology studies0.0020.001
Scholarly communication0.0000.000
Open science0.0010.001
Research integrity0.0040.005
Insufficient payload (model declined to judge)0.0070.002

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 head0.033
GPT teacher head0.394
Teacher spread0.362 · 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
GenreOther

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
Published2023
Admission routes1
Has abstractyes

Explore more

Same topicOccupational Health and Safety in WorkplacesFrench-language works237,207