Bibliographic record
Abstract
En 2020, inicié un proyecto de investigación titulado "Teatro y Feldenkrais: ¿qué herramientas del Método Feldenkrais® resultan más pertinentes para el trabajo de un actor?" (Rahir 2020). Dicho trabajo se llevó a cabo en el marco del departamento de investigación de La Manufacture, que forma parte de la Universidad de Ciencias Aplicadas y Artes de Suiza Occidental, y en colaboración con la Asociación Feldenkrais de Suiza, la escuela de arte Autopoïesis de Montreal y el Instituto de Formación Feldenkrais - IFELD de Lyon. Para comenzar, hemos identificado diferentes principios del Método Feldenkrais que han demostrado su eficacia para estimular la actuación creativa. Posteriormente, hemos planteado hipótesis sobre cómo aplicar estos principios en el escenario con el fin de determinar si podíamos convertirlos en lo que, a partir de ahora, denominamos herramientas para actores.
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 | 0.005 | 0.010 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.002 | 0.004 |
| Scholarly communication | 0.006 | 0.005 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.002 | 0.003 |
| Insufficient payload (model declined to judge) | 0.033 | 0.007 |
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".