Nivel de implementación de la calidad en sector turístico gallego
Bibliographic record
Abstract
Resumen: En estas últimas décadas, la aparición de nuevos destinos turísticos con características y precios similares o incluso más bajos, redujeron notablemente la cuota de mercado de España.Por todo ello, las empresas turísticas para enfrentarse a la mayor competencia de los mercados debido en parte al proceso de globalización, han buscado nuevas herramientas que les permitan obtener ventajas competitivas frente a los competidores para poder sobrevivir en un mundo altamente competitivo.Estas estrategias están enfocadas hacia la calidad del turismo y se basaban en la diferenciación del producto ofertado al cliente.La importancia de la calidad nos hace comprender la necesaria investigación, tanto teórica como empírica, que ayude a desarrollar un marco teórico-práctico para las empresas que deseen implantar la calidad como fuente de ventaja competitiva.Por ello en este trabajo nos planteamos dos objetivos básicos, conocer el nivel de implementación de factores críticos de la calidad en las empresas turísticas gallegas que poseen la certificación Q de calidad, y validar la escala utilizada para analizar el nivel de implementación de los mismos.
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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 | 0.002 | 0.006 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.009 | 0.002 |
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.
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".