MétaCan
Menu
Back to cohort
Record W2989316188 · doi:10.35426/iav47n121.02

Las prácticas de responsabilidad social empresarial en las pequeñas y medianas empresas en Jalisco y Quebec: ¿Isomorfismo despues del TLCAN?

2018· article· es· W2989316188 on OpenAlex
François Labelle, Francisco Ernesto Navarrete Báez

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.
aboutThe title or abstract carries a Canadian signal from the geographic lexicon.

Bibliographic record

VenueInvestigación Administrativa · 2018
Typearticle
Languagees
FieldSocial Sciences
TopicHigher Education and Sustainability
Canadian institutionsUniversité du Québec à Trois-Rivières
Fundersnot available
KeywordsHumanitiesPolitical sciencePhilosophy

Abstract

fetched live from OpenAlex

El objetivo de este trabajo es cotejar la presencia de un efecto de convergencia e isomorfismo en prácticas de Responsabilidad Social Empresarial (RSE), desde lo predicho por la teoría neoinstitucionalista en PYMEs de Jalisco, México y de Quebec, Canadá. Ambos sometidos a las mismas reglas institucionales surgidas del TLCAN. El método se basó sobre el análisis de 200 PYME localizadas en Quebec y 200 en Jalisco. Se hicieron pruebas ANOVA, sobre un instrumento de desarrollo propio, para corroborar si hay similitudes isomorfas o no de cada variable analizada. Los resultados tienden a demostrar que las PYME de Jalisco son similares a las de Quebec sobre prácticas de RSE. Por lo que se concluye, como primeros hallazgos, que las hipótesis planteadas constituyen unas simplificaciones restrictivas de la realidad para comprender el fenómeno de la influencia de los tratados entre ambos países sobre las prácticas de RSE en las PYME de cada país.

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)0.004
metaresearch head score (Gemma)0.012
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMetaresearch, Meta-epidemiology (narrow), Science and technology studies, Scholarly communication, Research integrity, Insufficient payload (model declined to judge)
Consensus categoriesScience and technology studies
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.669
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0040.012
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.002
Science and technology studies0.0020.008
Scholarly communication0.0010.001
Open science0.0020.000
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0030.001

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 head0.026
GPT teacher head0.394
Teacher spread0.368 · 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