Bibliographic record
Abstract
Throughout the Americas, performances deriving from medieval European rituals, ceremonies, and festivities made up a crucial part of the cultural cargo shipped from Europe to the overseas settlements. In 1583, Sir Humphrey Gilbert sailed from Plymouth, England, to Newfoundland, bringing with him "morris dancers, hobby horses, and Maylike Conceits" for the "allurement of the savages" and the "solace of our people." His voyage closely resembled that of twelve Franciscan friars who in 1524 had arrived in what is now Mexico armed with a repertoire of miracle plays, religious processions, and other performances. These two events, although far from unique, helped shape initial encounters between Europeans and indigenous peoples; they also marked the first stages of the process that would lead-by no means smoothly-to a distinctively American culture.Ritual Imports is a groundbreaking cultural history of European performance traditions in the New World, from the sixteenth century to the present. Claire Sponsler examines the role of survivals and adaptations of medieval drama in shaping American culture from colonization through nation building and on to today's multicultural society. The book's subjects include New Mexican matachines dances and Spanish conquest drama, Albany's Pinkster festival and Afro-Dutch religious celebrations, Philadelphia's mummers and the Anglo-Saxon revival, a Brooklyn Italian American saint's play, American and German passion plays, and academic reconstructions of medieval drama. Drawing on theories of cultural appropriation, Ritual Imports makes an important contribution to medieval and American studies as well as to cultural studies and the history of theater
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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 | 0.001 | 0.002 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.005 | 0.003 |
| Scholarly communication | 0.006 | 0.004 |
| Open science | 0.001 | 0.008 |
| Research integrity | 0.002 | 0.003 |
| Insufficient payload (model declined to judge) | 0.120 | 0.039 |
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".