Cátedra Ingenio, Ciencia, Tecnología y Sociedad, una experiencia de ingeniería humanitaria.
Bibliographic record
Abstract
La cátedra Ingenio, Ciencia, Tecnología y Sociedad es una materia electiva de la Universidad Nacional de Colombia que se dicta a estudiantes de todas las carreras con el objetivo de brindar herramientas que permitan desarrollar iniciativas de impacto social y plantear alternativas para resolver problemáticas en las que la academia incida de manera pertinente y trabaje en conjunto con las comunidades. La materia surgió como una iniciativa estudiantil del grupo de trabajo Ingenio sin Fronteras, junto con el semillero Ciencia, Tecnología y Sociedad. Nació como un curso alternativo y llegó a convertirse en una asignatura oficial de la universidad desde 2014. Cada semestre, se invitan académicos, expertos y miembros de comunidades a compartir sus conocimientos y experiencias, priorizando el diálogo de saberes. Además, se desarrollan actividades que permitan a los estudiantes trabajar en un proyecto, con miras a resolver una problemática con implicaciones tecnológicas en una comunidad.
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 | 0.002 | 0.004 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.003 | 0.003 |
| Science and technology studies | 0.007 | 0.009 |
| Scholarly communication | 0.016 | 0.005 |
| Open science | 0.001 | 0.005 |
| Research integrity | 0.003 | 0.003 |
| Insufficient payload (model declined to judge) | 0.041 | 0.008 |
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".