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
Abstract This case study examined the benefits of a sensory-based approach for teaching second language pronunciation to actors, addressing the unique learning goal of nativelike speech for nonnative professional actors. Two French Canadian actors (Marianne and Sebastian) were followed over 10 weeks of pronunciation instruction based on Knight’s (2012) theatrical voice methods and Gibson’s (1969) principles of sensory learning. Audio samples from scripted performances before and after instruction were rated for global and linguistic measures by 10 linguistically trained listeners and for performance measures by 10 advanced acting students. Listener ratings showed a significant improvement in accentedness for Marianne and greater comprehensibility for both actors, while qualitative data revealed actors’ preferences for different types of instruction. Results suggest that sensory learning appears beneficial for some learners and that pronunciation instruction could be supplemented with sensory-based activities.
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 | 0.000 | 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) | 0.006 | 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