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Record W4417476250 · doi:10.36788/sah.v9i2.179

Uso de Tracker para modelar matemáticamente fenómenos cinemáticos en secundaria

2025· article· W4417476250 on OpenAlex

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

VenueSAHUARUS REVISTA ELECTRÓNICA DE MATEMÁTICAS ISSN 2448-5365 · 2025
Typearticle
Language
FieldDecision Sciences
TopicMultidisciplinary Science and Engineering Research
Canadian institutionsUniversité du Québec à Montréal
Fundersnot available
KeywordsNoise (video)Statistical analysisBackground subtractionSelection (genetic algorithm)

Abstract

fetched live from OpenAlex

Presentamos algunos resultados de una intervención didáctica relacionada con el uso del software Tracker en actividades de modelación matemática, que se llevó a cabo en una secundaria pública de Hermosillo, Sonora. El propósito fue la obtención de información pertinente para conocer su viabilidad en el aula. La intervención se basó en una secuencia de actividades didácticas diseñadas para promover la modelación de fenómenos cinemáticos. Los resultados muestran que los alumnos avanzan en el proceso de modelación usando técnicas digitales emergentes, aunque también se observaron algunas deficiencias al relacionar el fenómeno modelado con el contenido matemático.

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)0.019
metaresearch head score (Gemma)0.007
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Science and technology studies, Scholarly communication, Open science, Research integrity, Insufficient payload (model declined to judge)
Consensus categoriesMeta-epidemiology (narrow), Research integrity, Insufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Simulation or modeling · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.607
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0190.007
Meta-epidemiology (narrow)0.0020.002
Meta-epidemiology (broad)0.0030.001
Bibliometrics0.0020.007
Science and technology studies0.0020.002
Scholarly communication0.0060.002
Open science0.0070.002
Research integrity0.0010.003
Insufficient payload (model declined to judge)0.0060.004

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 head0.038
GPT teacher head0.416
Teacher spread0.378 · 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