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Record W3212714835 · doi:10.36260/rbr.v10i10.1480

Disyuntivas del profesor novato de inglés en tiempos de pandemia

2021· article· es· W3212714835 on OpenAlexaff
Astrid Ramírez Valencia, Luz Marilyn Ortiz Sánchez, Julio César Arboleda

Bibliographic record

VenueRevista Boletín Redipe · 2021
Typearticle
Languagees
FieldComputer Science
TopicEducational Innovations and Technology
Canadian institutionsInstitute of Particle Physics
Fundersnot available
KeywordsHumanitiesPhilosophy

Abstract

fetched live from OpenAlex

Tomando en consideración la situación actual de la pandemia y su incidencia en la comunidad educativa y en particular teniendo en cuenta la perspectiva de la formación de los docentes de inglés que los actores en mención han tomado en los últimos tiempos, este escrito presenta una mirada crítica y reflexiva a las particularidades que atañen el ejercicio pedagógico del docente novato de inglés del momento, quien debe sortear diversas situaciones, con el propósito de conseguir que la escuela llegue a los niños. Para lograrlo se contó con la crítica de los autores que, aunque puede adolecer de la inclusión de todas las representaciones, pretende dar a conocer algunos cuestionamientos en relación con las disyuntivas que enfrenta ese profesor respecto a su actividad inicial docente en tiempos de pandemia, por encontrarse inmerso en su primer proceso de formación y de ejercicio docente como profesor de inglés. Como conclusión se plantea algunas miradas e interrogantes que pueden servir de fundamento y discusión, para futuras aproximaciones a este tema.

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)0.009
metaresearch head score (Gemma)0.016
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: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.029
Threshold uncertainty score0.057

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0090.016
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0020.001
Science and technology studies0.0100.024
Scholarly communication0.0100.008
Open science0.0020.009
Research integrity0.0040.008
Insufficient payload (model declined to judge)0.0070.001

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 head0.015
GPT teacher head0.308
Teacher spread0.293 · 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".

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Citations0
Published2021
Admission routes1
Has abstractyes

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