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Record W4366334167 · doi:10.36791/tcg.v8i22.194

Gestión energética y desarrollo organizacional sostenible en las Pequeñas Medianas Empresas de Jalisco

2023· article· es· W4366334167 on OpenAlexaff
Francisco Ernesto Navarrete Báez, François Labelle

Bibliographic record

VenueTRASCENDER CONTABILIDAD Y GESTIÓN · 2023
Typearticle
Languagees
FieldBusiness, Management and Accounting
TopicEnvironmental Sustainability in Business
Canadian institutionsUniversité du Québec à Trois-Rivières
Fundersnot available
KeywordsHumanitiesPolitical sciencePhilosophy

Abstract

fetched live from OpenAlex

En este trabajo presentamos una investigacióninicial sobre las prácticas de las pequeñas y medianasempresas de Jalisco, México referente a las políticassobre su gestión energética sustentable. Partiendo dela filosofía de cambio y desarrollo organizacionalsostenible, la responsabilidad social empresarial, elámbito ambiental del desarrollo sostenible y lasexigencias del mercado global. Se aplicó un cuestionario de desarrollo propio a los dueños oencargados de las PYME sobre prácticas de DesarrolloSustentable enfocados a la gestión energética, sobre unamuestra representativa de más de 200 empresas de laregión. Los primeros resultados encontrados fueron queuna tercera parte de las PYME entrevistadas realizanprácticas de gestión energética sustentable en formasistematizada, además que se encontró asociación conaquellas PYME que realizan estas prácticas y a su vezimplementan investigación y desarrollo propio, aplicaninnovación, además de que pertenecen a un grupoexterno y un nivel de educación alto del empresario.

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 machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.001
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.056
Threshold uncertainty score0.112

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0020.001
Scholarly communication0.0020.001
Open science0.0010.002
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0060.000

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 head0.014
GPT teacher head0.241
Teacher spread0.227 · 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 source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
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

Citations6
Published2023
Admission routes1
Has abstractyes

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Same venueTRASCENDER CONTABILIDAD Y GESTIÓNSame topicEnvironmental Sustainability in BusinessFrench-language works237,207