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Record W2900262353 · doi:10.5325/jmorahist.18.2.0145

The Adoption of Christian Names and Surnames in the Moravian Communities of Nunatsiavut, Labrador

2018· article· en· W2900262353 on OpenAlexaffabout
Hans Rollmann

Bibliographic record

VenueJournal of Moravian History · 2018
Typearticle
Languageen
FieldSocial Sciences
TopicNames, Identity, and Discrimination Research
Canadian institutionsMemorial University of Newfoundland
Fundersnot available
KeywordsGeographyEthnologyHistory

Abstract

fetched live from OpenAlex

ABSTRACT The process of assigning personal names throughout Nunatsiavut, Labrador, in response to ecclesiastical and public desiderata is discussed in this article. Naming among the Inuit of Labrador's north coast changed during the eighteenth and nineteenth centuries because of the Moravian mission. The adoption of German Christian names for children and adults was to indicate a religious identity change. The system that existed throughout the nineteenth century paired Christian names. Among married couples, the husband was named together with his wife and the wife with her husband in the possessive case, while the son's name was paired with that of his father and the daughter's name with that of her mother. Atitsiak-based naming among Labrador Inuit extended the kinship group as it had in other Inuit societies. It remained relevant and was accepted also by missionaries since Christian Inuit, unlike European Moravians, had no baptismal witnesses or sponsors who would have felt formal responsibility for the child beyond the primary caregivers. Traditional Christian double names for Moravian Inuit lasted in Labrador until the early 1890s when Christian first names began to be supplemented by surnames in response to governmental needs for bureaucratic identification.

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)0.004
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: Qualitative · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.230
Threshold uncertainty score0.998

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0040.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.002
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 head0.047
GPT teacher head0.324
Teacher spread0.277 · 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 designQualitative
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

Citations1
Published2018
Admission routes2
Has abstractyes

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