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Record W2100382600 · doi:10.30827/digibug.34797

A Language Reinforcement Program: ¡10 minutos!

2015· article· es· W2100382600 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueReiDoCrea Revista electrónica de investigación Docencia Creativa · 2015
Typearticle
Languagees
FieldSocial Sciences
TopicLiteracy and Educational Practices
Canadian institutionsTrent University
Fundersnot available
KeywordsConversationClass (philosophy)Focus (optics)Mathematics educationFocus on formPsychologyLinguisticsPedagogyComputer scienceGrammarCommunicationArtificial intelligence

Abstract

fetched live from OpenAlex

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.

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.

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)0.004
metaresearch head score (Gemma)0.010
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMetaresearch, Meta-epidemiology (narrow), Scholarly communication, Insufficient payload (model declined to judge)
Consensus categoriesInsufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.556
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0040.010
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.002
Science and technology studies0.0010.001
Scholarly communication0.0020.002
Open science0.0010.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0030.001

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 head0.045
GPT teacher head0.383
Teacher spread0.338 · 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