Nivel de implementación de la calidad en sector turístico gallego
Bibliographic record
Abstract
Resumen: En estas ltimas dcadas, la aparicin de nuevos destinos tursticos con caractersticas y precios similares o incluso ms bajos, redujeron notablemente la cuota de mercado de Espaa. Por todo ello, las empresas tursticas para enfrentarse a la mayor competencia de los mercados debido en parte al proceso de globalizacin, han buscado nuevas herramientas que les permitan obtener ventajas competitivas frente a los competidores para poder sobrevivir en un mundo altamente competitivo. Estas estrategias estn enfocadas hacia la calidad del turismo y se basaban en la diferenciacin del producto ofertado al cliente. La importancia de la calidad nos hace comprender la necesaria investigacin, tanto terica como emprica, que ayude a desarrollar un marco terico-prctico para las empresas que deseen implantar la calidad como fuente de ventaja competitiva. Por ello en este trabajo nos planteamos dos objetivos bsicos, conocer el nivel de implementacin de factores crticos de la calidad en las empresas tursticas gallegas que poseen la certificacin Q
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot 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.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.004 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.002 | 0.002 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 0.001 |
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.
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; both teacher heads agree on what is shown here.
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".