44th International Conference of Representation Disciplines Teachers Congress of Unione Italiana per il Disegno
Bibliographic record
Abstract
El aumento de la información producido en las últimas décadas como consecuencia del desarrollo de Internet ha generado tanto luces como diferentes sombras en el sistema educativo. El profesorado se encuentra en la tesitura de tener que guiar al alumnado entre la marejada de una cantidad de datos ingente que, en múltiples ocasiones, es parcial, poco fiable o directamente errónea. La propuesta aquí desarrollada surge de esta necesidad y toma como punto de partida la propuesta del Atlas Mnemosyne realizada por Aby Warburg. De esta forma, se plantea un sistema de recopilación del dibujo como patrimonio gráfico, entendido como un legado que se debe preservar, producido por diferentes arquitectos del siglo XX y que reside en diversos archivos online. El objetivo es configurar un espacio de aprendizaje autorizado para las asignaturas del área de expresión gráfica arquitectónica, que permita soslayar las dificultades inherentes de la enseñanza universitaria a comienzos del siglo XXI.
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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 | 0.003 | 0.003 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.003 | 0.001 |
| Scholarly communication | 0.007 | 0.003 |
| Open science | 0.001 | 0.005 |
| Research integrity | 0.003 | 0.002 |
| Insufficient payload (model declined to judge) | 0.233 | 0.100 |
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".