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Record W2975850343

The Passing of the "Red Indians of Newfoundland". Colonisation and Agency in the Beothuk's Extinction in the 17th-19th Centuries: Success and Failure

2019· article· en· W2975850343 on OpenAlexaboutno aff
Philippe Maron

Bibliographic record

VenueStirling Online Research Repository (University of Stirling) · 2019
Typearticle
Languageen
FieldHealth Professions
TopicIndigenous Studies and Ecology
Canadian institutionsnot available
Fundersnot available
KeywordsColonisationAgency (philosophy)HistoryGenealogyAncient historyEthnologyGeographySociologyArchaeologySocial scienceColonization
DOInot available

Abstract

fetched live from OpenAlex

Achieving subsequent notoriety as the “Red Indians” for the use of ochre on their bodies, the Beothuk were the main indigenous inhabitants of Newfoundland at the time of contact with Europeans at the beginning of the sixteenth century. The settling of European fishermen along the coast progressively cut the Beothuk off from their traditional resources. They slowly retreated inland and closed in on themselves, coming to the coasts only to steal European items, bringing retaliation from the settlers. The reduction of their territory, access to hunting grounds, environmental factors, the colonists’ persecution eventually had the upper hand on the tribe who dwindled toward extinction. After the death of the captive Shanawdithit on 6th June 1829, the Beothuk were declared a defunct cultural entity. Different reasons have been advanced to explain their demise; however, these all stem from their denied freewill and community agency. This paper will aim at restoring their place in their history; expanding up on their image as a doomed tribe, due to their failure to adequately respond to their victimisation by both colonists and nature. Lastly, a hypothesis will be made that the Beothuk acted according to a taboo whose consequences were both a success and a failure, and accelerated their demise.

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 categoriesScience and technology studies
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.167
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
Bibliometrics0.0000.001
Science and technology studies0.0040.001
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
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 head0.043
GPT teacher head0.356
Teacher spread0.312 · 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.

Study designObservational
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
Published2019
Admission routes1
Has abstractyes

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