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Record W4388815301

AUTONOMÍA Y APRENDIZAJE DE LENGUAS

2014· article· es· W4388815301 on OpenAlexaff
Iker Erdocia Iñiguez

Bibliographic record

VenueDOAJ (DOAJ: Directory of Open Access Journals) · 2014
Typearticle
Languagees
FieldComputer Science
TopicLinguistic Studies and Language Acquisition
Canadian institutionsUniversité de Montréal
Fundersnot available
KeywordsHumanitiesPsychologyArt
DOInot available

Abstract

fetched live from OpenAlex

La autonomía es una de las competencias clave del siglo XXI y, por ello, tiene una importancia capital en la sociedad contemporánea. Sin embargo, es un constructo complejo, con imbricaciones en distintas disciplinas del conocimiento. En el ámbito de la lingüística aplicada, la autonomía del aprendiente ha sido un campo de gran interés investigador y teórico durante más de tres décadas. Este artículo describe el desarrollo de la autonomía en el aprendizaje desde sus concepciones filosóficas originales hasta su aplicación al aprendizaje de lenguas. Por una parte, rastrea sus orígenes en el terreno de la enseñanza y de las diferentes corrientes lingüísticas. Por otra, presenta las conceptualizaciones y los modelos teóricos elaborados en el ámbito investigador del aprendizaje de lenguas hasta la actualidad.

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)0.001
metaresearch head score (Gemma)0.003
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: Empirical · Consensus signal: none
Teacher disagreement score0.010
Threshold uncertainty score0.022

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.003
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0020.010
Scholarly communication0.0060.004
Open science0.0010.003
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0050.001

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 head0.169
GPT teacher head0.537
Teacher spread0.368 · 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
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
Published2014
Admission routes1
Has abstractyes

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