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Record W7097123236

FOUR NATIVE PRESBYTERIAN MISSIONARIES LIVING THE MIDDLE GROUND: FOUR NATIVE PRESBYTERIAN MISSIONARIES, 1866-1912 By

2016· article· en· W7097123236 on OpenAlexaboutno aff

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldSocial Sciences
TopicCanadian Identity and History
Canadian institutionsnot available
Fundersnot available
KeywordsWhite (mutation)ChristianityGeorge (robot)ThunderHistory of religionsHistory of Christianity
DOInot available

Abstract

fetched live from OpenAlex

This dissertation will examine the motives and intentions of four native men, John Thunder, Peter Hunter, George Flett and John McKay, who participated in the missionary endeavour as native missionaries of the Presbyterian Church in Canada ministering to native people in southern Manitoba and Saskatchewan between 1866 and 1912. In examining the lives and careers of Thunder, Hunter, Flett and McKay, it becomes apparent that their goals and their perception of the missionary role were not necessarily those of the Foreign Mission Committee (FMC), the governing body concerned with the missionary work of the Presbyterian Church in Canada. The dissertation follows and extends the theoretical framework delineated by historian Richard White (1991), who argues that in cross-cultural encounters a 'middle ground ' may emerge, a common, mutually comprehensible world partaking of aspects of all cultures in the contact situation. It will be shown that the two Dakota men, John Thunder and Peter Hunter, used the office of missionary and the symbols of Christianity to communicate their needs to the dominant white society

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)0.001
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 score0.428
Threshold uncertainty score0.861

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.002
Science and technology studies0.0190.004
Scholarly communication0.0020.001
Open science0.0010.003
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0030.001

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 head0.037
GPT teacher head0.239
Teacher spread0.202 · 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

Citations0
Published2016
Admission routes1
Has abstractyes

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