Bibliographic record
Abstract
Con este articulo pretendo, en primer lugar, daros cuatro pinceladas generales de las consecuencias del traumatismo craneoencefalico y del dano cerebral sobrevenido, para que los lectores desconocedores de este ambito puedan hacerse una minima idea de las afectaciones con las que los afectados viven a raiz de este dano. En segundo lugar conoceremos brevemente a TRACE, la Asociacion Catalana de Traumaticos Craneoencefalicos y Dano Cerebral, sus origenes, sus objetivos y las areas de trabajo. Para finalizar, abordaremos el Espacio TRACE, el programa de integracion social especifico para los afectados: que entendemos por Espacio TRACE, su objetivo, el perfil de los usuarios y las actividades que lo componen. Una de estas actividades es la protagonista del articulo: el servicio de comedor que la asociacion tiene en un restaurante del barrio y, al fin y al cabo, la integracion social que se persigue cada dia con esta labor de intervencion socioeducativa enmarcada en un ambiente totalmente normalizado (un restaurante) y con un rol social tambien normalizado (comensales).
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) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.003 | 0.001 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.021 | 0.018 |
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".