Bibliographic record
Abstract
El Dr. Michel Bergeron, director de la revista Médice-Sciences y profesor titular de la Universidad de Montreal, estuvo en Venezuela en noviembre del 2003, presentando la ponencia titulada "No se trata de patafísica sino del costo de no saber", dentro del Foro "Reto de la ciencia en la Venezuela contemporánea", en el marco de la LIII Convención Anual de la Asociación Venezolana para el Avance de la Ciencia, AsoVAC 2003. Por medio de una serie de ejemplos reveladores invita a la comunidad científica a no realizar Patafísica, lo que significa trabajar sobre teorías sin fines prácticos, sino que deben abocarse a producir soluciones a los problemas específicos de sus países. Además Bergeron reconoce la importancia de contar con medios de comunicación especializados que promuevan los avances científicos y especialmente aquellos en formato digital
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 | 0.002 | 0.007 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.041 | 0.023 |
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".