MétaCan
Menu
Back to cohort
Record W4410768398 · doi:10.69821/plagcis.8.c37

El juego como herramienta para el desarrollo del lenguaje y la comunicación en la primera infancia

2025· book-chapter· es· W4410768398 on OpenAlexaff
Mary Ruby Guzñay Endara, Prissilla María Rivas Falcones, Nuris Mercedes Valeriano Vélez

Bibliographic record

Venuenot available
Typebook-chapter
Languagees
FieldSocial Sciences
TopicLiteracy and Educational Practices
Canadian institutionsGeomechanica (Canada)
Fundersnot available
KeywordsArtHumanities

Abstract

fetched live from OpenAlex

Hablar sobre la primera infancia es referirse a una etapa llena de asombros, descubrimientos y vínculos socioemocionales. Durante este tiempo, el niño no solo va armando su propia comprensión sobre el mundo, sino que además desarrolla sus primeras maneras para comunicarse (Zapata y Ceballos, 2010). Es un periodo muy especial, porque cada gesto pequeño, cada sonido o cada palabra apenas EXPERIENCIAS EN EL QUEHACER DOCENTE ECUATORIANO104balbuceadas significa un paso grande hacia estructurar su lenguaje y también su pensamiento. Justo ahí es cuando aparece el juego, que se vuelve un recurso clave para desarrollar ese potencial comunicativo que todos tenemos desde nuestras raíces.

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)0.000
metaresearch head score (Gemma)0.001
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.014
Threshold uncertainty score0.046

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0020.004
Scholarly communication0.0050.004
Open science0.0010.002
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0140.003

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 head0.030
GPT teacher head0.378
Teacher spread0.348 · 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 designQualitative
Domainnot available
GenreEmpirical

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".

Quick stats

Citations0
Published2025
Admission routes1
Has abstractyes

Explore more

Same topicLiteracy and Educational PracticesFrench-language works237,207