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Record W2114206224 · doi:10.1558/cj.v22i2.251-268

Les Chansons de la francophonie Web Site and its Two Web-usage-tracking Systems in an Advanced Listening Comprehension Course

2005· article· en· W2114206224 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.
aboutThe title or abstract carries a Canadian signal from the geographic lexicon.

Bibliographic record

VenueCALICO Journal · 2005
Typearticle
Languageen
FieldSocial Sciences
TopicEducational Tools and Methods
Canadian institutionsUniversity of Ottawa
Fundersnot available
KeywordsParagraphWeb pageComputer scienceWorld Wide WebJavaScriptComprehensionWeb applicationMultimediaLinguisticsProgramming language

Abstract

fetched live from OpenAlex

The Les Chansons de la francophonie web site is based on French songs and was developed using HTML and JavaScript for the advanced French Comprehension Course at the Second Language Institute of the University of Ottawa. These interactive listening activities include true-false and multiple-choice questions, fill in the blanks, paragraph writing, and reading comprehension based on external web links related to the themes of the songs. Because there was no tool readily available to track students’ use of these web pages, they were temporarily integrated into WebCT until eChanson, a more sophisticated tracking function, was developed. Sample pages from Les Chansons de la Francophonie are presented along with a description of how the two tracking and assessment methods are integrated into them—both internally via JavaScript and CGI and through the WebCT and eChanson shells.

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)0.003
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation 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: Empirical
Teacher disagreement score0.682
Threshold uncertainty score0.572

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0030.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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 head0.052
GPT teacher head0.431
Teacher spread0.378 · 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