MétaCan
Menu
Back to cohort
Record W1949015144 · doi:10.1111/lang.12082

L2 Learners’ Assessments of Accentedness, Fluency, and Comprehensibility of Native and Nonnative German Speech

2014· article· en· W1949015144 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

VenueLanguage Learning · 2014
Typearticle
Languageen
FieldPsychology
TopicPhonetics and Phonology Research
Canadian institutionsUniversity of Calgary
Fundersnot available
KeywordsGermanFluencyPsychologyLinguisticsLanguage proficiencyIndo-European languagesMultilingualismPhonologyEnglish as a lingua francaFirst languageNeuroscience of multilingualismSecond-language acquisitionLingua francaPedagogyMathematics education

Abstract

fetched live from OpenAlex

In early stages of classroom language learning, many adult second language (L2) learners communicate primarily with one another, yet we know little about which speech stream characteristics learners tune into or the extent to which they understand this lingua franca communication. In the current study, 25 native English speakers learning German as a L2 with varying levels of German proficiency rated German speech produced by native speakers and fellow learners of German along three continua: accentedness, fluency, and comprehensibility. An examination of speech stream (i.e., phonological, fluency based, and lexical/grammatical) characteristics along with partial correlations indicates both that the raters distinguished among the three concepts but that they conflated the term fluency with proficiency. Self‐reported proficiency in German and linguistic training were the best predictors of the ratings assigned.

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: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.411
Threshold uncertainty score0.391

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 integrity0.0000.000
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 head0.023
GPT teacher head0.404
Teacher spread0.381 · 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