Libro de Memorias. XXIII y XXIV Congreso Nacional de Ciencia, Tecnología y Sociedad - XIII Festival Internacional de Matemáticas
Bibliographic record
Abstract
En el 2021 organizamos el XXIII CONCITES, Congreso Nacional de Ciencia, Tecnología y Sociedad con gran participación nacional e internacional, en formato híbrido, con un evento virtual del 17 al 21 de agosto. Siguió luego un programa de extensión el sábado 28 de agosto, que fue dedicado a talleres, laboratorios y giras presenciales, en el Colegio de Señoritas en San José, Centro universitario UNED en Alajuela, la Sede UISIL en San Isidro del General y el Centro universitario UNED en Ciudad Neilly. En el 2022 realizamos dos grandes congresos, el XXIV CONCITES: Congreso Nacional de Ciencia, Tecnología y Sociedad y el XIII FIMAT: Festival Internacional de Matemáticas, en dos formatos, una parte virtual del 30 de agosto al 1 de setiembre. y luego un evento presencial, el 2 y 3 de setiembre en la Universidad Internacional San Isidro Labrador, UISIL, en Pérez Zeledón.
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 | 0.006 | 0.009 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.004 | 0.006 |
| Insufficient payload (model declined to judge) | 0.012 | 0.009 |
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".