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Record W4402490550 · doi:10.1017/s0032247424000093

Blubber for Bibles: translating colonialism in Inuit missions, c. 1750–1850

2024· article· en· W4402490550 on OpenAlexaboutno aff
Hilary M. Carey

Bibliographic record

VenuePolar Record · 2024
Typearticle
Languageen
FieldArts and Humanities
TopicMoravian Church and William Blake
Canadian institutionsnot available
FundersArts and Humanities Research CouncilDeutsche Forschungsgemeinschaft
KeywordsColonialismBlubberGeographyOceanographyHistoryArtGeologyArchaeologyZoologyBiology

Abstract

fetched live from OpenAlex

Abstract Between 1750 and 1850, at least twenty versions of the Greenlandic Bible were published through the efforts of Greenlandic catechists, Danish Lutherans, German Moravians, the Danish Bible Society and the British and Foreign Bible Society (BFBS). This article assesses the role of Greenlandic and other Inuit translators as they were engaged in the colonial project of devising a complete version of the scriptures in their own language. Using the relatively untapped correspondence of the BFBS, it considers how and why the status of Inuit translators changed over the course of the missionary translation project. In one response to the reception of new Bibles, Inuit people offered gifts of blubber to the BFBS to support translations for other mission communities. To understand the meaning of this exchange, this essay brings together the methodologies and perspectives of missionary linguistics. It uncovers the unique role played by Greenlandic and other Inuit translators and catechists, foregrounding their contribution to a successful national project, the creation of a national language for independent Greenland and the emergence of literate Christian communities. By reading along and against the grain of colonial archives, it seeks to recover something of the names and motivation of Inuit scripture translators.

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)0.002
metaresearch head score (Gemma)0.005
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: Empirical · Consensus signal: Empirical
Teacher disagreement score0.112
Threshold uncertainty score0.223

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.005
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0110.005
Scholarly communication0.0030.002
Open science0.0010.003
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0050.001

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 head0.041
GPT teacher head0.275
Teacher spread0.235 · 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
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

Citations2
Published2024
Admission routes1
Has abstractyes

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