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Record W4245800951 · doi:10.3138/cmlr.62.1.17

Learner Corpus Analysis and the Development of L2 Pragmatic Competence in Networked Inter-cultural Language Study: The Case of German Modal Particles

2005· article· en· W4245800951 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.

venuePublished in a venue whose home country is Canada.
no affNo Canadian affiliation: this work is invisible to an affiliation-only frame.
No Canadian affiliation. An affiliation-only frame, the usual design, would never have seen this work. It is one of the works that make the case for inverting the frame.

Bibliographic record

VenueCanadian Modern Language Review/ La Revue canadienne des langues vivantes · 2005
Typearticle
Languageen
FieldArts and Humanities
TopicEFL/ESL Teaching and Learning
Canadian institutionsnot available
Fundersnot available
KeywordsGermanLinguisticsCorpus linguisticsPragmaticsComputer scienceScope (computer science)Competence (human resources)ModalContext (archaeology)PsychologyNatural language processingHistory

Abstract

fetched live from OpenAlex

This article reports on a corpus-based, developmental pedagogical intervention for the teaching of German modal particles (MPs) in which learners examined their own emerging MP use as well as that of their native-speaking keypals in the context of electronically mediated, project-based collaboration. Individual learner development was traced micro-genetically over a period of nine weeks using Telekorp, a bilingual learner corpus with a built-in control corpus. The current study contributes to the teaching of second language (L2) pragmatics with respect to the authenticity of the interactions, the corpus-enabled nature of the intervention, the developmental scope of the data, and the potential for ‘hyper-noticing’ in Internet-mediated intercultural foreign language education.

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 categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.688
Threshold uncertainty score0.711

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0000.001
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 head0.019
GPT teacher head0.261
Teacher spread0.242 · 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