Exploring shared and individual assessment of paired oral interactions
Bibliographic record
Abstract
Studies concerning the assessment of second language (L2) paired oral interaction to date have investigated interactional patterns that emerge from paired oral tests and identified the factors that create variability in an individual’s test scores. However, less work has addressed concerns about whether scores should be shared or individual when assessing L2 speakers’ oral interactions. Therefore, the present study compared shared and individual assessment of L2 English paired oral task performances. Paired oral interaction episodes were sampled from a larger corpus of university-level L2 speakers engaged in paired speaking tasks and were assessed by 60 raters who were randomly assigned to rate Speaker A, Speaker B, or both speakers. To avoid any possible rating effects due to rating stimuli, half the raters evaluated audio recordings while the other half assessed video recordings. The raters used an analytic rubric with four domains: discourse management, collaborative communication, content development, and language accuracy and complexity. Comparison of raters’ scores revealed that individual discourse management ratings were significantly higher than shared ratings for both members of the pair regardless of the rating modality (audio vs. video). Implications for assessing pair interactions are discussed.
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How this classification was reachedexpand
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 | 0.001 | 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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".