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Record W2593036281 · doi:10.5565/rev/ensciencias.1927

Sucesión de sumas parciales como proceso iterativo infinito: un paso hacia la comprensión de las series numéricas desde el modelo APOS

2017· article· es· W2593036281 on OpenAlex
Myriam Codes Valcarce, Alejandro S. González-Martín

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 · 2017
Typearticle
Languagees
FieldMathematics
TopicStatistics Education and Methodologies
Canadian institutionsUniversité de Montréal
Fundersnot available
KeywordsHumanitiesPhilosophyPhysics

Abstract

fetched live from OpenAlex

A la luz de las dificultades que conlleva el aprendizaje de las series numéricas, en este artículo nos centramos en uno de sus componentes que aparecen explícitamente en su definición como límite de una sucesión de sumas parciales: la sucesión de sumas parciales como proceso iterativo infinito. A partir de la descomposición genética de este concepto, se han analizado las respuestas de dos grupos de alumnos de primer año universitario y se han encontrado manifestaciones de distintas concepciones acción y proceso en los dos grupos. Las diferencias entre los modos de conocer las sucesiones de sumas parciales de estos grupos revelan la importancia de algunos elementos matemáticos clave para la comprensión de las series numéricas.

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)0.006
metaresearch head score (Gemma)0.066
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMetaresearch, Meta-epidemiology (narrow), Science and technology studies, Scholarly communication, Research integrity
Consensus categoriesMeta-epidemiology (narrow), Science and technology studies
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: Theoretical or conceptual
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.187
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0060.066
Meta-epidemiology (narrow)0.0020.002
Meta-epidemiology (broad)0.0020.001
Bibliometrics0.0010.001
Science and technology studies0.0040.006
Scholarly communication0.0050.001
Open science0.0030.001
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0000.000

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 head0.142
GPT teacher head0.436
Teacher spread0.294 · 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