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Record W2466221976 · doi:10.7202/1036081ar

Missionaries, merchants, and Inuit entrepreneurs: An examination of trade relations along the Labrador coast

2016· article· en· W2466221976 on OpenAlexafffundvenueabout
Amelia Fay

Bibliographic record

VenueÉtudes/Inuit/Studies · 2016
Typearticle
Languageen
FieldHealth Professions
TopicIndigenous Studies and Ecology
Canadian institutionsMemorial University of Newfoundland
FundersMemorial University of Newfoundland
KeywordsAsideGeographyFur tradeDiversity (politics)PopulationWork (physics)East coastAbundance (ecology)EconomyEthnologyPolitical scienceHistoryEconomic historyDemographySociologyFisheryEconomicsEngineeringArtPhysical geographyLaw

Abstract

fetched live from OpenAlex

The study of Inuit-European contact in Labrador has often divided the coast into north and south, creating a dichotomy that ignores Inuit mobility and emphasizes the arrival and placement of Europeans along the coast. This has caused some researchers to focus too heavily on missionary trade involvement in the north while ignoring merchant activity in the south, and vice versa. This paper seeks to provide further evidence in support of Inuit entrepreneurs as catalysts for the abundance and diversity of European-made trade goods along the coast, rather than the missionaries or merchants themselves. This study presents an analysis of four Inuit dwellings dating from the mid-18th through early 19th centuries, both pre- and post- missionary arrival, from two distinct regions: Nain and Hamilton Inlet. The results show no significant difference in the quantity of trade goods between the two regions, either before or after the arrival of Moravian missionaries. There may have been another factor at work: influential Inuit traders who were a key component of the trade network, who likely rose to entrepreneurial status prior to the arrival of missionaries, and who continued to move items along the coast thereafter. Thus, the increasing European presence did not largely affect the trade network that had emerged by the early 18th century, aside from providing the Inuit population with access to additional resources and more options.

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)0.002
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.668
Threshold uncertainty score0.000

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0020.002
Science and technology studies0.0050.002
Scholarly communication0.0020.001
Open science0.0010.002
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0020.000

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 head0.076
GPT teacher head0.368
Teacher spread0.292 · 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 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

Citations7
Published2016
Admission routes4
Has abstractyes

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