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Record W3105278681 · doi:10.29173/spectrum74

Harden Not Your Hearts

2020· article· en· W3105278681 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.
venuePublished in a venue whose home country is Canada.

Bibliographic record

VenueSpectrum · 2020
Typearticle
Languageen
FieldEconomics, Econometrics and Finance
TopicNew Zealand Economic and Social Studies
Canadian institutionsUniversity of Alberta
Fundersnot available
KeywordsChristianizationIndigenizationIndigenousFaithMethodismPopulationHistorySociologyEthnologyAnthropologyReligious studiesChristianityTheologyArchaeologyPhilosophyDemographyBiologyEcology

Abstract

fetched live from OpenAlex

This paper studies the Christianization, and consequent indigenization of faith, by the Māori on the North Island of New Zealand in the nineteenth century. The Christianization of the Māori illuminates the process of indigenization by which foreign faiths are adopted by native populations. In examining the Christianization of the Māori, one can come to understand the process of indigenization, that is the adoption of a foreign faith by a native population. Understanding the conversion process by the British on an indigenous population allows contemporary scholars to not only acknowledge the truth of the past, but also move forward with explanations regarding the current state of relations between settlers (Pākehā) and the indigenous (Māori), as well as between the Māori and their varying faiths. Specifically, in this paper Iargue that the process of conversion, as well as the impact of missionization and Pākehā desire for land, contributed to the development of Māori prophetic movements, an indigenized form of faith, which exemplified the complexities of British missionization in the nineteenth century.

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.

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)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesInsufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.778
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.007

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 head0.087
GPT teacher head0.222
Teacher spread0.134 · 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