Bibliographic record
Abstract
Al terminar mi posgrado en Diseño en la Universidad de Alberta, Canadá, decidí continuar con los proyectos de investigación vinculados a la sustentabilidad y a la educación en el campo del diseño. Mi trabajo, desde entonces, se concentró en explorar métodos, herramientas y conceptos para formar diseñadores para un futuro sustentable. En la práctica, tanto mis proyectos profesionales como mi actividad docente se convirtieron en mi laboratorio de pruebas. La experiencia me permitió introducir un nuevo curso y enseñar Diseño para la Sustentabilidad, durante los últimos tres años, en la Universidad de Alberta; y dedicarle papers y presentaciones en varios países del mundo. Además, visité el Departamento de Diseño en Comunicación Visual, de la Facultad de Bellas Artes de la Universidad Nacional de La Plata, en mayo de 2012. Hoy tengo el privilegio de escribir sobre el tema que más me apasiona: diseñar para un futuro sustentable.
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 | 0.004 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.003 | 0.003 |
| Science and technology studies | 0.020 | 0.031 |
| Scholarly communication | 0.021 | 0.011 |
| Open science | 0.002 | 0.013 |
| Research integrity | 0.003 | 0.006 |
| Insufficient payload (model declined to judge) | 0.013 | 0.001 |
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".