Análisis de los factores que explican la eficacia de la estrategia de denominación de origen como estrategia de marketing a través de un estudio de caso : la denominación de origen protegida queso Idiazábal en el País Vasco
Bibliographic record
Abstract
En este breve pero importante apartado, tengo mucho que comunicar.Quiero agradecer de corazón a muchas personas.A mis padres, Haydée y Manuel, quienes a pesar de su tristeza me apoyaron para continuar mis estudios en Europa, lejos de ellos.A mi marido, Ulli, a quien conocí en el tiempo de pr eparación de este trabajo y quien a pesar de su paciencia alemana, me apoyó hasta el final.Al profesor Rufín, a quien le agradezco que se haya hecho cargo de apoyar y asesorar este trabaj o, el cual, por el tiempo transcurrido y los obstáculos encontrados, ya había pensado en abandonar.Mi agradecimiento profundo a ellos y a muchas otras personas en Perú, Espa ña y Alemania, que con su apoyo han hecho posible la culminación de este trabajo .
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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 | 0.007 | 0.033 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.001 | 0.002 |
| Scholarly communication | 0.003 | 0.001 |
| Open science | 0.001 | 0.001 |
| 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".