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Record W4383269827 · doi:10.25145/j.refiull.2023.46.18

Fraseología aplicada a la adquisición del español como lengua extranjera /

2023· article· en· W4383269827 on OpenAlexaff
Antonio Cano Ginés, Laura Arroyo Martínez

Bibliographic record

VenueRevista de Filología de la Universidad de La Laguna · 2023
Typearticle
Languageen
FieldArts and Humanities
TopicSpanish Linguistics and Language Studies
Canadian institutionsFraser Health
Fundersnot available
KeywordsTypologyElaborationTask (project management)Point (geometry)Selection (genetic algorithm)Foreign languageComputer scienceLinguisticsPlan (archaeology)PsychologyHumanitiesMathematics educationArtificial intelligenceSociologyArtEngineeringPhilosophyMathematicsHistory

Abstract

fetched live from OpenAlex

This work belongs to the research field of Phraseodidactics applied to the teaching of Spanish as a foreign language (ELE). The objectives of our research are: to present a typology proposal for the different phraseological units, to point out what the selection criteria should be to showcase these lexical units in the classroom, to provide basic guidelines for their teaching, and to present a typology of activities based on the strategies of learning that students must develop, together with the temporal phases through which these structures are learned. As conclusions of the research, it is shown that it is necessary to work on three preferential lines: the data dump of the phraseological units found in the Curricular Plan of the Cervantes Institute, the elaboration of their didactic classification, and the creation of didactic units. Likewise, the creation of specific didactic units for learning about this type of lexical units is considered to be an ensuing task.

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)0.002
metaresearch head score (Gemma)0.002
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: Other · Consensus signal: Other
Teacher disagreement score0.022
Threshold uncertainty score0.049

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.002
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0020.001
Science and technology studies0.0010.002
Scholarly communication0.0040.002
Open science0.0010.002
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0150.002

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 head0.010
GPT teacher head0.266
Teacher spread0.255 · 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
GenreOther

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

Citations3
Published2023
Admission routes1
Has abstractyes

Explore more

Same venueRevista de Filología de la Universidad de La LagunaSame topicSpanish Linguistics and Language StudiesFrench-language works237,207