Bibliographic record
Abstract
Speaking about the American choral music, conductor Kathy Romey observed that "our choral inheritance reflects a kaleidoscope of cultural and religious roots which gave birth to an astonishing melting pot" of musical and individual voices. The "American" choral music can be observed from two geographic perspectives -the United States and North America -which include works of composers from Canada, the United States, Puerto Rico, and Mexico. In both contexts, "specific American" choral music is extremely varied, flexible, and in a continuous change. It could take the form of a hymn of Shakers, of a song of Native Americans, a Moravian hymn, a spiritual Negro, of a song from the divine service of Judaic Sabbath, of a lullaby, a civil war marching, a Mexican salsa dance, a gospel hymn, an Asian artistic song, Broadway music, blues, a cowboy ballad or a European folk song. All these and much more are part of our collective culture -a diverse and rich tradition of many peoples, which expresses itself through a multitude of musical styles and genres."
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.
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 | 0.001 | 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) | 0.024 | 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".