Lyrical Music and Second Language Acquisition: A study on the use of children's songs as a strategy for Hul'q'umi'num' language revitalization
Bibliographic record
Abstract
The use of lyrical music to aid in the revitalization of Hul'qumi'num', a dialect spoken on southeastern Vancouver Island, is a strategy that builds on the connections between music and language.These connections are evident in both infant-or child-directed speech and music.In 2008 and 2010, a group of dedicated volunteers wrote and recorded two collections of children's songs in English and Hul'qumi'num'.This study examined the usefulness of these CDs in the context of how lyrical music aids in second language acquisition.This qualitative study features the perspectives of Hul'qumi'num' language instructors on their use of the 'Iiyus Siiye'yu Happy Friends CDs with students in School District 79.Data collected from focus groups and individual interviews with Hul'qumi'num' language instructors and Aboriginal Support teachers, a principal, and two co-creators of the CDs were analyzed using pattern, theme and content analysis.This provided a clearer picture of how the CDs were distributed and how students were exposed to the songs in classrooms.Motivation and comfort levels of language instructors were two themes that emerged and led to an important question: can partially fluent speakers teach Hul'qumi'num'?Hul'qumi'num' is a dynamic and living language that has experienced substantial changes in the past century and as the number of fluent speakers continues to dwindle, there will continue to be substantial changes to the language.Recommendations arising from this research included the development of 1.An accompanying CD that includes vocabulary lists for each song and verbal instructions to transitioning listeners; vi
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How this classification was reachedexpand
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 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".