Textos clásicos y Geometría dinámica : estudio de un aporte mutuo para el aprendizaje de la Geometría
Bibliographic record
Abstract
La reedición de textos matemáticos clásicos, o su reciente digitalización para un gran público, abre al mundo de la educación un universo antes reservado a los historiadores u otros especialistas en epistemología. Con todo, muchos textos del siglo XVIII ya se presentaban como obras en las cuales los autores pretendían explicar los conceptos matemáticos expuestos, sin perder necesariamente de vista el sentido y la coherencia de la estructura matemática o los aspectos formales de demostraciones convincentes. Los Éléments de géométrie de Alexis Claude Clairaut, publicados por primera vez en 1741, pertenecen a esta clase de obras maniestamente pedagógicas. A partir de una experiencia con alumnos de bachillerato mostramos cómo se pueden desarrollar sus competencias matemáticas a través de una interpretación del texto de Clairaut y el uso conjunto de un softVare de geometría dinámica.
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 | 0.013 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.004 | 0.011 |
| Scholarly communication | 0.009 | 0.008 |
| Open science | 0.001 | 0.004 |
| Research integrity | 0.002 | 0.002 |
| Insufficient payload (model declined to judge) | 0.011 | 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".