Incidental Vocabulary Learning Through Listening to Teacher Talk
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 study investigated incidental learning of single‐word items and collocations through listening to teacher talk. Although there are several studies that have investigated incidental vocabulary learning through listening, no intervention studies have explicitly investigated the extent to which listening to teachers in a classroom context might contribute to vocabulary learning. The present study fills this gap. Additionally, the study explored the relationship between vocabulary learning gains and two factors: frequency of occurrence and first language (L1) translation. A meaning‐recall test and a multiple‐choice test were used to evaluate learning gains. The results indicated that (a) listening to teacher talk has potential to contribute to vocabulary learning of both single‐word items and collocations, (b) using L1 translation to explain target word meanings contributed to larger gains on the immediate posttest, (c) frequency of occurrence was not a significant predictor of incidental vocabulary learning.
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 | 0.001 |
| Insufficient payload (model declined to judge) | 0.123 | 0.001 |
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