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 In this paper, we discuss a set of 60 listening quizzes, created to support adult learners of Hul’q’umi’num’ (Coast Salish) in fine-tuning their listening and speaking skills. Hul’q’umi’num’ has a rich consonant inventory, including many sounds not found in learners’ L1 (English). The goal of the quizzes was twofold: provide learners with opportunities to practice hearing these sounds and, at the same time, inform us about the features of Hul’q’umi’num’ L2 speech perception. Findings showed which sounds were particularly easy or challenging, laying the foundation for creating more targeted resources to better aid sound acquisition among Hul’q’umi’num’ learners. Evidence of improvement in perceptual ability after taking the quizzes was also found. This work contributes to diversifying scientific approaches to second language acquisition by showing how speech perception research and pedagogy can be combined in an Indigenous language revitalization context.
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 | 0.001 | 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 | 0.000 | 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) | 0.003 | 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