Bibliographic record
Abstract
When French settlers came to North America in the seventeenth century, they brought with them a rich collection of French traditions. Among these traditions is La Guignolée, a song originally performed on New Year's Eve as part of a begging quest where young men in a community went house-to-house collecting donations of food and drink that were either donated to the poor or used in later community-wide celebrations. Although La Guignolée was a well-known and widely-practiced tradition in North America's French creole settlements, today it survives in a dwindling number of towns across the United States and Canada. The purpose of this research was to show how La Guignolée has persisted and changed in Ste. Genevieve, Missouri and to provide that community with a record of its now rare tradition. A comparison of ethnographic data on current Ste. Genevieve community members’ experiences with La Guignolée and archival data on La Guignolée practices in the last three centuries showed how members of the Ste. Genevieve community have maintained this tradition through a combination of community support, performer dedication, and cultural preservation.
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 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 | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.010 | 0.005 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.001 | 0.001 |
| 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 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".