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 reports on the design and testing of an integrated suite of vocabulary training games for Nintendo™ collectively designated My Word Coach (Ubisoft, 2008). The games’ design is based on a wide range of learning research, from classic studies on recycling patterns to frequency studies of modern corpora. Its general usage and learning effects were tested over a four-month period, with fifty age and level appropriate Francophone English as a second language learners in a Montreal school. A battery of observational and empirical tests tracked experimental and quasi-control groups’ lexical development on the dimensions of form recognition, meaning recognition, free production, and speed of lexical access, as well as features of game use. Two months’ gaming coincided with gains in recognition vocabulary normally achieved in one to two years, longer oral productions, reduced code switching, and increased speed of lexical access. Further questions are raised about the prior knowledge Word Coach assumes, the importance of post-game follow up, and the future of commercial gaming in language 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) | 0.373 | 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