Constructions and Negotiations of Identity in Children’s Music in Canada
Bibliographic record
Abstract
Abstract This article reviews research and the historical context for Anglo-Canadian children’s folk music, the development of the children’s folk “movement” in the 1970s, and the resultant Anglo-Canadian children’s musical canon. Specifically, it explores the relationship between musicians and the selection and contents of songs through the repertoire of two musical “acts”: the threesome known as Sharon, Lois, and Bram; and Raffi Cavoukian. The analysis and comparison of the music, performance practices, and songs of both acts show that despite their varied approaches, each drew upon folk and popular musical traditions, and created new songs in forming their repertoires. Both acts created music that empowered children as the keepers of the future through their use children’s artwork, children’s voices, and efforts to teach children how to care of themselves and the world around them.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.002 | 0.003 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.002 | 0.004 |
| Science and technology studies | 0.034 | 0.029 |
| Scholarly communication | 0.012 | 0.002 |
| Open science | 0.002 | 0.006 |
| Research integrity | 0.002 | 0.003 |
| Insufficient payload (model declined to judge) | 0.008 | 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 source (direct Gemma or distilled Codex), 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".