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Record W2331556210 · doi:10.1525/nr.2011.14.3.128

Review: <i>Shrines and Pilgrimage in the Modern World: New Itineraries into the Sacred</i>, by Peter Jan Margry

2011· article· en· W2331556210 on OpenAlexaffabout
Holly Everett

Bibliographic record

VenueNova Religio The Journal of Alternative and Emergent Religions · 2011
Typearticle
Languageen
FieldSocial Sciences
TopicReligious Tourism and Spaces
Canadian institutionsMemorial University of Newfoundland
Fundersnot available
KeywordsPilgrimageIconCitationArtArt historyDownloadHistoryWorld Wide WebComputer scienceArchaeology

Abstract

fetched live from OpenAlex

Book Review| February 01 2011 Review: Shrines and Pilgrimage in the Modern World: New Itineraries into the Sacred, by Peter Jan Margry Shrines and Pilgrimage in the Modern World: New Itineraries into the Sacred. Edited by Peter Jan Margry. Amsterdam University Press, 2008. 362 pages. $ 45.00 paper. Holly Everett Holly Everett Memorial University of Newfoundland Search for other works by this author on: This Site PubMed Google Scholar Nova Religio (2011) 14 (3): 128–129. https://doi.org/10.1525/nr.2011.14.3.128 Views Icon Views Article contents Figures & tables Video Audio Supplementary Data Peer Review Share Icon Share Facebook Twitter LinkedIn MailTo Tools Icon Tools Get Permissions Cite Icon Cite Search Site Citation Holly Everett; Review: Shrines and Pilgrimage in the Modern World: New Itineraries into the Sacred, by Peter Jan Margry. Nova Religio 1 February 2011; 14 (3): 128–129. doi: https://doi.org/10.1525/nr.2011.14.3.128 Download citation file: Ris (Zotero) Reference Manager EasyBib Bookends Mendeley Papers EndNote RefWorks BibTex toolbar search Search Dropdown Menu toolbar search search input Search input auto suggest filter your search All ContentNova Religio Search This content is only available via PDF. © 2011 by The Regents of the University of California Article PDF first page preview Close Modal You do not currently have access to this content.

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)0.002
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: Review · Consensus signal: Review
Teacher disagreement score0.214
Threshold uncertainty score0.979

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.001
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0000.000

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 head0.044
GPT teacher head0.316
Teacher spread0.272 · 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
GenreReview

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

Citations0
Published2011
Admission routes2
Has abstractyes

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