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Record W2971704153 · doi:10.1515/9780773596450

Becoming Holy in Early Canada

2014· book-chapter· en· W2971704153 on OpenAlexaboutno aff
Timothy G. Pearson

Bibliographic record

VenueMcGill-Queen's University Press eBooks · 2014
Typebook-chapter
Languageen
FieldSocial Sciences
TopicCanadian Identity and History
Canadian institutionsnot available
Fundersnot available
KeywordsArtHistoryGenealogyGeography

Abstract

fetched live from OpenAlex

Recent years have witnessed a revival of interest in holy figures in Canada. From the reputations of popes John Paul II and Benedict XVI as prolific saint-makers to the canonization of two figures associated with Canada - Brother André Bessette in 2010 and Kateri Tekakwitha in 2012 - saints are suddenly in the news and a topic of conversation. In Becoming Holy in Early Canada, Timothy Pearson explores the roots of sanctity in Canada to discover why reputations for holiness developed in the early colonial period and how saints were made in the local and immediate contexts of everyday life. Pearson weaves together the histories of well-known figures such as Marie de l'Incarnation with those of largely forgotten local saints such as lay brother and carpenter Didace Pelletier and the Algonquin martyr Joseph Onaharé. Adopting an approach that draws on performance theory, ritual studies, and lived religion, he unravels the expectations, interactions, and negotiations that constituted holy performances. Because holy reputations developed over the course of individuals' lifetimes and in after-death relationships with local faith communities through belief in miracles, holy lives are best read as local, embedded, and contextualized histories. Placing colonial holy figures between the poles of local expectation and the universal Catholic theology of sanctity, Becoming Holy in Early Canada shows how reputations developed and individuals became local saints long before they came to the attention of the church in Rome.

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 imitation

Not 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.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.003
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Other · Consensus signal: none
Teacher disagreement score0.175
Threshold uncertainty score0.957

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.003
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0020.004
Science and technology studies0.0650.014
Scholarly communication0.0120.002
Open science0.0030.008
Research integrity0.0020.007
Insufficient payload (model declined to judge)0.0120.001

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 head0.013
GPT teacher head0.187
Teacher spread0.174 · 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 source (direct Gemma or distilled Codex), 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

Citations3
Published2014
Admission routes1
Has abstractyes

Explore more

Same venueMcGill-Queen's University Press eBooksSame topicCanadian Identity and HistoryFrench-language works237,207