Bibliographic record
Abstract
New folk music and folk-song materials in this comprehensive study are particularly important for singers, folk music enthusiasts, ethnomusicologists, comparative and cultural studies scholars, and those interested in Canadian culture. LaRena Clark was a great singer and knew many fine songs. Her wide repertoire covers almost the complete range of types and topics of traditional Anglo-Canadian songs. Comparison with other collections in Canada, the United States, the British Isles, and Australia indicate just how unique and far-reaching it was. Clark's background and her varied ancestry shaped her repertoire. The account of her parents' activities gives a vivid picture of folk life in rural Ontario during the early years of this century. She knew some Canadian songs previously unreported, and she wrote songs with a strong Canadian flavour. Musically, Clark's songs are a microcosm of practices characteristic of British folk music throughout the English-speaking world. Particularly noteworthy is her constant reworking of traditional materials, procedures, forms, and individual tunes.
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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 | 0.006 | 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 | 0.002 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.004 |
| Insufficient payload (model declined to judge) | 0.040 | 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".