Bibliographic record
Abstract
Since the dawn of humanity, people have traveled in search of meaning and to petition for worldly and otherworldly blessings. In the twenty-first century, the number of people traveling to religious sacred sites on pilgrimage has increased more than at any point in human history. An increased demand for pilgrimage routes and trails with the spiritual rather than the religious walker in mind, has also led various enterprising groups and individuals to develop entirely new pilgrimage routes and trails. This book highlights this new chapter in pilgrimage and trail development with essays by pilgrimage scholars and practitioners working in over ten countries. These include an examination of circular pilgrimage in The Netherlands, weird or «antipilgrimages» in the UK, and the revitalization of ancient trails along the Old Way to Canterbury, in the Baltic States, and on the Kumano Kodo in Japan. Entirely new trails include the Sufi Trail in Turkey, the Western Front Way in Europe, the Abraham Path in Southwest Asia, the Mormon Canadian Trail, and various new religious-themed trails in Lebanon. Human rights pilgrimages include one focused on peace building in Indigenous Australia, another on Indigenous settler pilgrimage protocols in Canada, and an emancipation pilgrimage along the Underground Railroad in the United States.
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 | 0.000 | 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 | 0.004 | 0.004 |
| Scholarly communication | 0.007 | 0.004 |
| Open science | 0.001 | 0.004 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.021 | 0.004 |
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".