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Record W7116066090 · doi:10.65685/amiutem.v11i2.245

Modelación matemática y uso de tecnología bajo una perspectiva STEM

2024· article· W7116066090 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

VenueRevista AMIUTEM · 2024
Typearticle
Language
FieldMathematics
TopicMathematics Education and Programs
Canadian institutionsUniversité du Québec à Montréal
Fundersnot available
KeywordsContext (archaeology)BachelorDisciplineGermanSyllabus

Abstract

fetched live from OpenAlex

El proyecto STEM (Science, Technology, Engineering, Mathematics), nació a finales del siglo XX, cuyo principal objetivo es la unificación de las ciencias. El proyecto es muy ambicioso ya que no solo se realiza un cambio curricular en el área de matemáticas, sino en todas las áreas de la ciencia; solicitando al profesor ligado a este cambio, una cultura amplia desde el punto de vista científico. De acuerdo con English (2015), en Australia se cuenta con varias generaciones de ingenieros STEM; sin embargo, desde su punto de vista, ella considera que en la formación del nuevo ingeniero, la matemática juega un papel secundario, exclusivamente de corte utilitario. Con esto ella quiere decir que el aprendizaje no es conceptual, sino procedimental. Así, si la modelación matemática es uno de los aspectos más fuertes en la formación de conceptos, ella juega un papel secundario en el proyecto STEM y para los didactas de la matemática no es adecuado.

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)0.002
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Scholarly communication, Insufficient payload (model declined to judge)
Consensus categoriesInsufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.704
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.000
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0020.000
Open science0.0010.000
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0040.004

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 head0.052
GPT teacher head0.366
Teacher spread0.314 · 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