MétaCan
Menu
Back to cohort
Record W1566240345 · doi:10.5565/rev/ensciencias.3624

Textos clásicos y Geometría dinámica : estudio de un aporte mutuo para el aprendizaje de la Geometría

2010· article· es· W1566240345 on OpenAlex
Philippe R. Richard, Vicente Meavilla Seguí, Josep M. Fortuny

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueEnseñanza de las Ciencias Revista de investigación y experiencias didácticas · 2010
Typearticle
Languagees
FieldSocial Sciences
TopicMathematics Education and Teaching Techniques
Canadian institutionsUniversité de Montréal
Fundersnot available
KeywordsHumanitiesPhilosophyArt

Abstract

fetched live from OpenAlex

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.

Full frame distilled prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.013
metaresearch head score (Gemma)0.027
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMetaresearch, Meta-epidemiology (narrow), Science and technology studies, Scholarly communication, Research integrity, Insufficient payload (model declined to judge)
Consensus categoriesMeta-epidemiology (narrow), Science and technology studies, Research integrity
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.700
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0130.027
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0010.004
Science and technology studies0.0030.005
Scholarly communication0.0030.001
Open science0.0030.001
Research integrity0.0020.003
Insufficient payload (model declined to judge)0.0020.000

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.

Opus teacher head0.027
GPT teacher head0.370
Teacher spread0.343 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it