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 paper investigates characteristics of teacher talk in an elementary immersion class in Korea. One native teacher of English and his eighteen elementary participated in this study. Having majored in elementary education in Canada, the native teacher was teaching science to the in Korea. The class was videotaped and audio-taped. The recorded data was transcribed and then analyzed in terms of display questions, meaning negotiation, speech rate, syntactic simplification, replacement with easy words, limitation, and corrective feedback. Even though the teacher used a lot of display questions in establishing concepts, he kept taking follow-up moves, which involved students active interaction with the teacher and helped construct new knowledge. Meaning negotiation occurred through multi-stages to learn targeted concepts. The teacher spoke with his at a normal speech rate for native speakers of English and did not simplify syntactic complexity. Instead, the teacher replaced difficult words with easy words in order to help understand targeted concepts. The teacher also used strategy of limitation in eliciting from the the words or concepts the teacher had in his mind.
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 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 0.007 |
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