Arts Therapies and the Intelligence of Feeling 11th European Arts Therapies Conference 21-24 September 2011, Lucca, Italy
Bibliographic record
Abstract
Los dias 21, 22, 23 y 24 de septiembre tuvo lugar la XXIa Conferencia Europea sobre arteterapia, organizada por ECARTE, el Consorcio Europeo para la Educacion en Arteterapia. Desde el punto de vista de quien escribe, esta ha sido una de las conferencias mejor organizadas, mas interesantes y con mejor contenido a las que he tenido la ocasion de asistir. En el estuvieron presentes mas de quinientas personas procedentes de todos los lugares del mundo, desde Japon, Australia, Canada, EE.UU., Brasil, Chile, Israel, y todos los paises europeos. Uniendo la reflexion y la emocion, el pensamiento y el movimiento, la estructura del Congreso ha permitido combinar los espacios de la reflexion individual a traves de interesantes conferencias y comunicaciones, el dialogo y la comunicacion interpersonal, -a traves de debates sin la prisa de los tiempos-, la participacion de pequeno grupo -en los distintos talleres que sobre drama, danza-movimiento, musico y arteterapiay la participacion del gran grupo donde, en grandes talleres, tuvimos la oportunidad de compartir e intercambiar teorias, sensaciones, aplicaciones. El lugar ayudaba. La amurallada ciudad de Lucca, nos acogio en un septiembre todavia veraniego y nos invito a recorrer la ciudad buscando el lugar donde uno u otro taller tenia lugar. Las arquitecturas de mas cinco metros de alto bajo las que trabajabamos, llenas de frescos espectaculares, acompanaron nuestro trabajo lle-
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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 | 0.002 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.003 | 0.004 |
| Scholarly communication | 0.008 | 0.002 |
| Open science | 0.001 | 0.006 |
| Research integrity | 0.002 | 0.002 |
| Insufficient payload (model declined to judge) | 0.104 | 0.012 |
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".