Análisis de la experiencia de negocios de pequeños empresarios canadienses con México
Bibliographic record
Abstract
ESTE TRABAJO ABORDA LA RELACIÓN DE LAS PEQUEÑAS EMPRESAS CANADIENSES CON EMPRESARIOS MEXICANOS, CON ESPECIAL INTERÉS EN LAS COMPETENCIAS ORGANIZACIONALES Y LA EXPERIENCIA PERSONAL DE LOS EMPRENDEDORES CANADIENSES QUE TIENEN NEGOCIOS EN MÉXICO. PARA LLEVAR A CABO LO ANTERIOR, SE REALIZARON ENTREVISTAS A PROFUNDIDAD A 14 EMPRESARIOS CANADIENSES EN EL ÁREA DE COLUMBIA BRITÁNICA, EN EL LADO OESTE DE CANADÁ. LOS RESULTADOS DEL ANÁLISIS DE TEXTO DE LAS ENTREVISTAS SUGIEREN QUE EL ESCANEO DEL ENTORNO ES IMPORTANTE PARA QUE EL EMPRESARIO PUEDA TOMAR INICIATIVAS DE INTERNACIONALIZACIÓN; ADEMÁS, CON ELLO SE TENDRÁ UNA VISIÓN CLARA DE LOS OBJETIVOS Y LAS FORTALEZAS DEL NEGOCIO. EL ESTILO DE LIDERAZGO GENERALMENTE MOSTRADO POR LOS ADMINISTRADORES ES INSPIRADOR Y VISIONARIO COMO LO SUGIERE BASS (1999); LA SENSIBILIDAD CULTURAL DE LOS EMPRESARIOS CANADIENSES ES FAVORABLE HACIA LOS EMPRESARIOS MEXICANOS. LAS RELACIONES DE NEGOCIOS EXITOSAS SE BASAN EN EL DESARROLLO DE SOCIOS COMERCIALES Y SE DESCRIBEN COMPORTAMIENTOS QUE FACILITAN U OBSTACULIZAN LA RELACIÓN POR PARTE DE LOS EMPRESARIOS MEXICANOS.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot 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.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.004 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.002 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.004 | 0.000 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".