Pilgrimage as Performance: Ste. Ann de Beaupre.” New Directions in Folklore. 4/2
Bibliographic record
Abstract
Pilgrimage, like the urban legend and the traditional material transmitted by means of the office copying machine, is a folklore genre which is flourishing in the modern world; according to Victor Turner, the number of pilgrims at the world's major shrines is still increasing. However, unlike these forms, pilgrimage is not usually regarded as a performance genre. Between 1970 and 1980 I observed pilgrim behavior at local shrines in Buffalo and on the Niagara Frontier and in the summer of 1981 I spent two weeks at the shrine of St. Anne at Beaupre in Quebec. It became become increasingly obvious to me that pilgrims are very aware of their performance, that they learn to be pilgrims, and may acquire a greater or lesser degree of skill in this role. Some people reach a level which can only be described as professional; others, as David Hufford as pointed out, never really learn to be pilgrims. While I certainly do not quarrel with Victor and Edith Turner's brilliant analysis of pilgrimage as communitas and flow experience, I feel that they have overlooked certain very self-conscious aspects of pilgrimage behavior. (Turner 1995)
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.003 | 0.002 |
| Scholarly communication | 0.002 | 0.003 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.003 | 0.003 |
| Insufficient payload (model declined to judge) | 0.066 | 0.017 |
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".