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Record W2154932196 · doi:10.1111/1540-4781.00196

Conversational Repair as a Role‐Defining Mechanism in Classroom Interaction

2003· article· en· W2154932196 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

VenueModern Language Journal · 2003
Typearticle
Languageen
FieldArts and Humanities
TopicEFL/ESL Teaching and Learning
Canadian institutionsUniversity of AlbertaUniversity of Waterloo
Fundersnot available
KeywordsGermanNegotiationConversation analysisMeaning (existential)Class (philosophy)ConversationForeign languageResource (disambiguation)PsychologyOrder (exchange)PedagogyMathematics educationComputer scienceLinguisticsSociologyCommunicationBusiness

Abstract

fetched live from OpenAlex

This article is concerned with the ways in which the students and the teacher in a content‐based German as a foreign language class used repair in order to negotiate meaning and form in their classroom. Through a combination of qualitative and quantitative approaches, we discuss how repair in this institutional setting differed from repair in mundane conversation and how repair was used differently by the students and the teacher. Given that students and the teacher were all competent speakers of both the first language (L1) and the second language (L2), we found that these differences were not merely indications of incomplete L2 usage. Instead, they manifested how the students and the teacher enacted and perceived their respective roles within the classroom and, based on role concepts, demonstrated different access to repair as a resource. The analysis shows that repair is a resource for modified output as well as modified input in classroom settings.

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: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.330
Threshold uncertainty score0.997

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 studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0040.000

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 head0.016
GPT teacher head0.254
Teacher spread0.238 · 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