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Record W4298234280

A Language Reinforcement Program: ¡10 minutos! (Un programa de reforzamiento de la lengua: ¡10 minutos!)

2015· article· en· W4298234280 on OpenAlexaff
Karen McMullin, García Ramírez

Bibliographic record

VenueDOAJ (DOAJ: Directory of Open Access Journals) · 2015
Typearticle
Languageen
FieldPsychology
TopicHealth, Education, and Physical Culture
Canadian institutionsTrent University
Fundersnot available
KeywordsHumanitiesMathematicsComputer scienceArt
DOInot available

Abstract

fetched live from OpenAlex

Abstract: ¡10 minutos! is a program designed as a voluntary extra-curricular activity for students taking Spanish language courses who wish to practise and reinforce the lexical and grammatical constructions presented in class and in the textbook. The program began as a short daily email correspondence between students enrolled in the introductory-level Spanish course and the instructor, and has developed into a series of short, daily, conversation sessions between beginning students of Spanish and upper-year students of Spanish. The focus is on the use of meaningful language in everyday communication as well as the constancy of a simple daily activity that encourages students to focus on the language.
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\nResumen: ¡10 minutos! es un programa diseñado como actividad extra-curricular voluntaria para los estudiantes que estudian los cursos de español y que desean practicar y reforzar las construcciones léxicas y gramaticales presentadas en clase y en el libro de texto. El programa comenzó como una breve correspondencia diaria por correo electrónico entre los estudiantes matriculados en el curso de español de nivel introductorio y el instructor, y se convirtió en una serie de sesiones cortas de conversación diarias entre los estudiantes principiantes y estudiantes avanzados de español. Se centra en el uso del lenguaje significativo en la comunicación cotidiana, así como la constancia de una actividad diaria simple que anima a los estudiantes a pensar en la lengua.

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)0.003
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Scholarly communication, Insufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.198
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0030.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0010.001
Open science0.0020.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0190.000

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 head0.250
GPT teacher head0.611
Teacher spread0.361 · 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
Published2015
Admission routes1
Has abstractyes

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