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Record W2772269214 · doi:10.24197/her.19.2017.60-95

Control y valor de las tareas de aprendizaje: dos cosas que es bueno saber sobre la motivación de los estudiantes de traducción

2017· article· es· W2772269214 on OpenAlexaff
Álvaro Echeverri

Bibliographic record

VenueHermeneus · 2017
Typearticle
Languagees
FieldSocial Sciences
TopicEducation and Teacher Training
Canadian institutionsUniversité de Montréal
Fundersnot available
KeywordsHumanitiesPhilosophy

Abstract

fetched live from OpenAlex

La idea de hacer del estudiante el centro de todo esfuerzo educativo ha conquistado el discurso traductológico y uno de sus pilares principales ha sido un mejor conocimiento de los estudiantes de traducción. Un estudio bibliográfico y los resultados de un estudio empírico basado en informes de pasantías de traducción, sugieren que la percepción que los estudiantes tienen sobre quién tiene el control de los resultados del aprendizaje y sobre el valor de las tareas de aprendizaje, inciden en la pérdida de autoconfianza. De acuerdo con los principios de la teoría social-cognitiva (Bandura, 1977), la autoconfianza es la base de la motivación. En este artículo se discuten dos aspectos de la motivación que son esenciales en los enfoques centrados en el estudiante: el control que los estudiantes pueden ejercer sobre la ejecución de las actividades de formación y el valor que esos mismos estudiantes confieren a dichas actividades.

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)0.021
metaresearch head score (Gemma)0.048
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.021
Threshold uncertainty score0.112

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0210.048
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0020.001
Science and technology studies0.0020.010
Scholarly communication0.0060.003
Open science0.0010.003
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0060.000

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 head0.027
GPT teacher head0.358
Teacher spread0.331 · 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 designObservational
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

Citations1
Published2017
Admission routes1
Has abstractyes

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