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Álgebra temprana: La simplificación de ecuaciones

2022· article· es· W4386239274 on OpenAlexaff
Luis Radford

Bibliographic record

VenueRevista de Investigação e Divulgação em Educação Matemática · 2022
Typearticle
Languagees
FieldPsychology
TopicDevelopmental and Educational Neuropsychology
Canadian institutionsLaurentian University
Fundersnot available
KeywordsMathematics

Abstract

fetched live from OpenAlex

Situado dentro del campo de investigación del álgebra temprana (Blanton et al., 2017; Cai & Knuth, 2011; Kieran, 2018; Kilhamn & Säljö, 2019), este artículo se centra en la comprensión de los jóvenes estudiantes de las ideas básicas en torno a la simplificación algebraica de ecuaciones. El artículo busca contribuir al campo de investigación arrojando luz sobre los procesos de producción de significados que sustentan la simplificación de ecuaciones y las operaciones algebraicas involucradas. En la primera parte, se presenta una concepción teórica del pensamiento algebraico. También se describen dos sistemas semióticos no alfanuméricos que fueron diseñados para introducir a los estudiantes a la simplificación algebraica de ecuaciones. En la segunda parte, se analizan dos episodios de estudiantes de tercer grado (8-9 años de edad) que resuelven ecuaciones de tipo ax+b=cx+d.

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 imitation

Not 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.

metaresearch head score (Codex)0.004
metaresearch head score (Gemma)0.012
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Other · Consensus signal: none
Teacher disagreement score0.015
Threshold uncertainty score0.049

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0040.012
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0020.002
Science and technology studies0.0020.009
Scholarly communication0.0070.013
Open science0.0020.005
Research integrity0.0010.003
Insufficient payload (model declined to judge)0.0150.002

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 head0.023
GPT teacher head0.321
Teacher spread0.298 · 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

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designNot applicable
Domainnot available
GenreOther

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".

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Citations0
Published2022
Admission routes1
Has abstractyes

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