Flawed self-assessment: Investigating self- and other-perception of second language speech
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.
Bibliographic record
Abstract
This study targeted the relationship between self- and other-assessment of accentedness and comprehensibility in second language (L2) speech, extending prior social and cognitive research documenting weak or non-existing links between people's self-assessment and objective measures of performance. Results of two experiments (N = 134) revealed mostly inaccurate self-assessment: speakers at the low end of the accentedness and comprehensibility scales overestimated their performance; speakers at the high end of each scale underestimated it. For both accent and comprehensibility, discrepancies in self- versus other-assessment were associated with listener-rated measures of phonological accuracy and temporal fluency but not with listener-rated measures of lexical appropriateness and richness, grammatical accuracy and complexity, or discourse structure. Findings suggest that inaccurate self-assessment is linked to the inherent complexity of L2 perception and production as cognitive skills and point to several ways of helping L2 speakers align or calibrate their self-assessment with their actual performance.
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 imitationNot 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.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 0.000 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it