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Record W4382020784 · doi:10.51247/st.v6i2.374

Asesoría extensionista al proyecto Augustana. Facultad de Lenguas Extranjeras. Universidad de Oriente

2023· article· es· W4382020784 on OpenAlexaboutno aff
Niurka Téllez Rodríguez, Arllen Darelsi Planas-Acosta

Bibliographic record

VenueSociedad & Tecnología · 2023
Typearticle
Languagees
FieldSocial Sciences
TopicEducation and Teacher Training
Canadian institutionsnot available
Fundersnot available
KeywordsHumanitiesPolitical scienceArt

Abstract

fetched live from OpenAlex

El siguiente trabajo tiene como propósito analizar las experiencias de la labor de asesoramiento metodológico del proyecto Augustana en la Facultad de Lenguas Extranjeras de la Universidad de Oriente desde la dimensión extensionista. La investigación se sustenta en la metodología descriptiva con enfoque cualitativo y utiliza los métodos teóricos siguientes, inductivo-deductivo y analítico-sintético, en función del análisis del objeto de investigación, el proceso extensionista universitario. De los métodos empíricos se aplica la observación científica participante. El trabajo se desarrolló en diciembre del 2022 a marzo del 2023; obteniendo como principales resultados los siguientes: organización del intercambio cultural entre la universidad de Alberta y la Facultad de Lenguas Extranjeras, desde los subprocesos de la extensión universitaria; diseño de acciones de internacionalización en cada uno de los años de la carrera de Lenguas Extranjeras e inglesa y protocolo para el desarrollo de un concurso en saludo al Día del Idioma con la participación de ambas universidades. Existe un elevado estado de satisfacción de la Comisión de Extensión Universitaria sobre la asesoría metodológica que ofrece el asesor del Departamento de Extensión Universitaria

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 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)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Science and technology studies
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.353
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.002
Science and technology studies0.0020.001
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0010.001

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 head0.046
GPT teacher head0.390
Teacher spread0.345 · 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 teacher head, not a consensus.

Study designNot applicable
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
Published2023
Admission routes1
Has abstractyes

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