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Record W4309521733 · doi:10.3726/b17963

New Pilgrimage Routes and Trails

2022· book· en· W4309521733 on OpenAlexaboutno aff
Daniel H. Olsen, Dane Munro, Ian McIntosh

Bibliographic record

VenuePeter Lang Verlag eBooks · 2022
Typebook
Languageen
FieldSocial Sciences
TopicReligious Tourism and Spaces
Canadian institutionsnot available
Fundersnot available
KeywordsPilgrimageIndigenousHistoryHumanityAncient historyGeographyEthnologyEnvironmental ethicsPolitical scienceLawPhilosophyEcology

Abstract

fetched live from OpenAlex

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 distilled prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.036
Threshold uncertainty score0.921

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

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.

Opus teacher head0.014
GPT teacher head0.254
Teacher spread0.240 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designNot applicable
Domainnot available
GenreOther

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".

Quick stats

Citations2
Published2022
Admission routes1
Has abstractyes

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