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Record W7099052430

VI-CONTE: The interactive videodisc in teaching language and culture

2015· article· en· W7099052430 on OpenAlexaboutno aff

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldComputer Science
TopicGeochemistry and Geologic Mapping
Canadian institutionsnot available
Fundersnot available
KeywordsSet (abstract data type)PopulationSection (typography)Teaching methodLanguage education
DOInot available

Abstract

fetched live from OpenAlex

tant qu'artefact culturel, rend compte en soi, ainsi que par ses possibilités, de cette réalité. Des spécialistes des universités de Calgary et de Guelph (Canada) ont créé un vidéodisque, VI~CONTE, destiné à une population apprenante aux niveaux débutant et intermédiaire en français langue seconde, avec une partie supplémentaire pour le niveau avancé. Son contexte est canadien-français. Le présent article traite des théories, concepts et applications qui ont donné naissance à la création de ce vidéodisque interactif. Abstract. Culture is embedded in language, and vice versa. Videodiscs, which can themselves he cultural artefacts, have the ability to integrate language and culture. Specialists at the universities of Calgary and Guelph (Canada) have designed a videodiscJ VI-CONTE J aimed at a learner population at the beginning and intermediate levels in French as a second language, \\Vith a supplementary section for the more advanced learners. Il is set in the French-Canadian cultural context. This article sets out the theories J concepts and applications associated \\Vith the creation of this interactive videodise.

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: Methods · Consensus signal: none
Teacher disagreement score0.015
Threshold uncertainty score0.046

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 studies0.0010.002
Scholarly communication0.0040.003
Open science0.0010.002
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0140.001

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 head0.014
GPT teacher head0.258
Teacher spread0.244 · 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
GenreMethods

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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