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Record W4383454596 · doi:10.1515/9780773558014

Inuit, Oblate Missionaries, and Grey Nuns in the Keewatin, 1865-1965

2019· book-chapter· en· W4383454596 on OpenAlexaboutno aff
Frédéric Laugrand, Jarich Oosten

Bibliographic record

VenueMcGill-Queen's University Press eBooks · 2019
Typebook-chapter
Languageen
FieldHealth Professions
TopicIndigenous Studies and Ecology
Canadian institutionsnot available
Fundersnot available
KeywordsOblate spheroidGeologyGeographyArchaeologyPhysicsClassical mechanics

Abstract

fetched live from OpenAlex

Over the century between the first Oblate mission to the Canadian central Arctic in 1867 and the radical shifts brought about by Vatican II, the region was the site of complex interactions between Inuit, Oblate missionaries, and Grey Nuns - interactions that have not yet received the attention they deserve. Enriching archival sources with oral testimony, Frédéric Laugrand and Jarich Oosten provide an in-depth analysis of conversion, medical care, education, and vocation in the Keewatin region of the Northwest Territories. They show that while Christianity was adopted by the Inuit and major transformations occurred, the Oblates and the Grey Nuns did not eradicate the old traditions or assimilate the Inuit, who were caught up in a process they could not yet fully understand. The study begins with the first contact Inuit had with Christianity in the Keewatin region and ends in the mid-1960s, when an Inuk woman joined the Grey Nuns and two Inuit brothers became Oblate missionaries. Bringing together many different voices, perspectives, and experiences, and emphasizing the value of multivocality in understanding this complex period of Inuit history, Inuit, Oblate Missionaries, and Grey Nuns in the Keewatin, 1865-1965 highlights the subtle nuances of a long and complex interaction, showing how salvation and suffering were intertwined.

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)0.002
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 score0.318
Threshold uncertainty score0.640

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0100.006
Scholarly communication0.0020.002
Open science0.0010.004
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0020.000

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 head0.027
GPT teacher head0.265
Teacher spread0.237 · 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

Citations8
Published2019
Admission routes1
Has abstractyes

Explore more

Same venueMcGill-Queen's University Press eBooksSame topicIndigenous Studies and EcologyFrench-language works237,207