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 distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.002 | 0.001 |
| Bibliometrics | 0.000 | 0.004 |
| Science and technology studies | 0.001 | 0.005 |
| Scholarly communication | 0.000 | 0.004 |
| Open science | 0.002 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.014 | 0.004 |
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; both teacher heads agree on what is shown here.
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".