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Record W3197898313 · doi:10.1017/s0272263121000425

VISUAL CUES AND RATER PERCEPTIONS OF SECOND LANGUAGE COMPREHENSIBILITY, ACCENTEDNESS, AND FLUENCY

2021· article· en· W3197898313 on OpenAlex
Aki Tsunemoto, Rachael Lindberg, Pavel Trofimovich, Kim McDonough

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.
fundA Canadian funder is recorded on the work.

Bibliographic record

VenueStudies in Second Language Acquisition · 2021
Typearticle
Languageen
FieldPsychology
TopicHearing Impairment and Communication
Canadian institutionsConcordia University
FundersSocial Sciences and Humanities Research Council of Canada
KeywordsFluencyPsychologyGesturePerceptionTorsoCognitive psychologyLinguisticsMathematics education

Abstract

fetched live from OpenAlex

Abstract This study examined the role of visual cues (facial expressions and hand gestures) in second language (L2) speech assessment. University students ( N = 60) at English-medium universities assessed 2-minute video clips of 20 L2 English speakers (10 Chinese and 10 Spanish speakers) narrating a personal story. They rated the speakers’ comprehensibility, accentedness, and fluency using 1,000-point sliding scales. To manipulate access to visual cues, the raters were assigned to three conditions that presented audio along with (a) the speaker’s static image, (b) a static image of a speaker’s torso with dynamic face, or (c) dynamic torso and face. Results showed that raters with access to the full video tended to perceive the speaker as more comprehensible and significantly less accented compared to those who had access to less visually informative conditions. The findings are discussed in terms of how the integration of visual cues may impact L2 speech assessment.

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)0.000
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: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.466
Threshold uncertainty score0.997

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
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)0.0040.000

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 head0.031
GPT teacher head0.394
Teacher spread0.363 · 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