Bibliographic record
Abstract
En este artículo se analiza la denominada "economía de la experiencia" (Pine & Gilmore, 1999). Las ciudades son cada vez más importantes como escenarios en los que se crean experiencias y se representan para el consumo masivo. En esta economía de la experiencia, la cultura se convierte en una materia prima esencial y el turismo cultural es un elemento cada vez más importante. Diremos que la producción de experiencias es actualmente un elemento vital para una amplia gama de regiones y ciudades de Europa. La medida del éxito de estas políticas depende en alto grado de las condiciones económicas, sociales y culturales preexistentes, a pesar de la naturaleza, aparentemente etérea, de la producción de experiencias. Este estudio se basa en el Programa de Investigación sobre Turismo Cultural de la Association for Tourism and Leisure Education (ATLAS). Los datos presentados incluyen los resultados de la última ronda de la encuesta ATLAS desde el año 2000 y la información recogida en el último informe del proyecto ATLAS (Richards, 2001).
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 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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.003 |
| Science and technology studies | 0.001 | 0.002 |
| Scholarly communication | 0.004 | 0.001 |
| Open science | 0.000 | 0.002 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 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".