La aceleración social como nueva frontera para la ética del turismo
Bibliographic record
Abstract
Las críticas a la velocidad, al cambio continuo o al crecimiento han formado parte de muchos debates sobre la deslegitimación del turismo de los últimos tiempos. De manera más o menos explícita, a muchos de ellos les subyace una dimensión ética cuando sugieren que podría o debería desarrollarse de otra forma. Por lo tanto, es tarea de la ética del turismo reflexionar sobre ellas. No obstante, aunque esta ha ido adquiriendo una gran relevancia en los últimos tiempos, aún se trata de una disciplina relativamente joven. Una de las tareas pendientes es la de superar las concepciones tradicionales y estáticas del turismo, porque, a diferencia de muchas actividades, es extraordinariamente heterogéneo, escurridizo y difícilmente controlable. Para avanzar hacia esa dirección, este número plantea un espacio de reflexión sobre la ética del turismo que toma en consideración una perspectiva analítica concreta: la aceleración social.
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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 | 0.002 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.002 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 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 teacher head, 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".