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Record W7028149934

The Effects of Christianization Among the Indigenous Communities of Kongo & Lower Canada

2014· article· en· W7028149934 on OpenAlexaboutno aff

Bibliographic record

VenueScholarWorks - UNO (University of New Orleans) · 2014
Typearticle
Languageen
FieldComputer Science
TopicInterconnection Networks and Systems
Canadian institutionsnot available
Fundersnot available
KeywordsChristianizationIndigenousChristianityFifteenthPeriod (music)Order (exchange)
DOInot available

Abstract

fetched live from OpenAlex

By the end of the seventeenth century and the turn of the eighteenth Europeans had discovered, explored, and in some cases conquered, the continents of Africa and the Americas. The Western world was heavily Christian, and so missionaries made it their goal to spread Christianity to newfound indigenous people who they deemed “savages,” or, at the very least, pagans. Many historians have explored the religious aspect of contact in great detail. John Thornton has written numerous works on the outcomes and implications of the Christian presence in Kongo, which began as early as the fifteenth century. Conversely, Daniel K. Richter has explored the same interaction on the American continent, although in a slightly later timeframe. Despite similarities between the missionary experience in both areas, challenges and outcomes in each region were radically different. Two women, Dona Beatriz from the Kongo and Kateri from the Mo hawk nation, are useful guides in examining the processes and outcomes of evangelizing in such different areas. This paper casts Beatriz and Kateri as autonomous figures in their own conversion. Both women lived during roughly the same time, and both devoted their lives to the Christian faith. However, Dona Beatriz was scorned and eventually killed for her faith-based movement, while Kateri was recently beatified as the first Native American saint. This study contributes a transcontinental comparison to the study of exchange during the period of Atlantic exploration in order to more fully understand the intricacies of the Christianization process and to highlight the role indigenous people had in their own conversion.

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)0.001
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: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.313
Threshold uncertainty score0.612

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.000
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0000.000
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 head0.005
GPT teacher head0.165
Teacher spread0.160 · 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
GenreEmpirical

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
Published2014
Admission routes1
Has abstractyes

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