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Record W3157210034 · doi:10.1558/cj.38927

A Video-Conferencing English–Spanish eTandem Exchange

2021· article· en· W3157210034 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

VenueCALICO Journal · 2021
Typearticle
Languageen
FieldArts and Humanities
TopicEFL/ESL Teaching and Learning
Canadian institutionsUniversité Laval
Fundersnot available
KeywordsVideoconferencingContrast (vision)Perspective (graphical)TeleconferenceEnglish as a foreign languageForeign languagePsychologyFocus (optics)Language acquisitionLinguisticsComputer scienceMathematics educationMultimediaArtificial intelligence

Abstract

fetched live from OpenAlex

This study analyzed eTandem video-conferencing exchanges between five pairs of university students of English as a foreign language (EFL) and Spanish as a foreign language (SFL). The exchanges, which involved discussion of seven tasks, took place on a weekly basis. Drawing on an interactionist perspective (Ellis et al., 2001a; Loewen, 2005), the study explored the impact of incidental noticing on subsequent language learning. Data were collected from two sources: transcripts of all the video-conferencing sessions and immediate and delayed post-tests. Drawing on Loewen’s (2005) framework of analysis, the transcripts revealed that students generated a total of 915 focus-on-form episodes (FFEs). As measured by the post-tests, participants recalled over half of the targeted FFE linguistic items. In contrast to previous studies (Loewen, 2005; Shekary & Tahririan, 2006), where successful uptake was a predictor for L2 learning, the present study revealed that the only significant predictor was deferred timing. More generally, the present study supports the claim that eTandem video-conferencing is a useful activity for promoting L2 acquisition.

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)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.868
Threshold uncertainty score0.991

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.000
Scholarly communication0.0010.000
Open science0.0000.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0100.000

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 head0.047
GPT teacher head0.241
Teacher spread0.195 · 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