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Challenges and Chokes: Exploring the Interplay of Climate, History, and Culture on Canada's Labrador Coast

2000· article· en· W1979122848 on OpenAlexaboutno aff
Susan A. Kaplan, Jim M. Woollett

Bibliographic record

VenueArctic Antarctic and Alpine Research · 2000
Typearticle
Languageen
FieldHealth Professions
TopicIndigenous Studies and Ecology
Canadian institutionsnot available
Fundersnot available
KeywordsGeographyPoliticsEthnologyHistoryPolitical science

Abstract

fetched live from OpenAlex

The Inuit of late 18th-century Labrador lived in large communal houses, participated in long-distance trade networks, and maintained relatively elaborate economic and political organizations. For 25 yr archaeologists and ethnohistorians have debated the significance of these characteristics. Some propose that these practices are indicators of stress resulting from deteriorated environmental conditions, others see them as signs of economic success due, in part, to exploitation of Europeans visiting the coast. This paper examines the convergence of environment, history, and culture in late 18th-century Labrador. The authors argue that the Inuit experienced generally stable and moderate climatic conditions at this time. They were able to live with a degree of security, even accumulate surpluses, as a result of their flexible social and economic structure and the natural resources available to them. During this same period, Europeans visited Labrador in growing numbers and Moravian missionaries established mission stations amongst the Inuit. The Europeans' presence presented the Inuit with economic opportunities, while also posing significant spiritual and social threats. The Inuit responded by amplifying and elaborating some of their cultural practices in order to secure economic advantages, but also as a form of social resistance. Paleoenvironmental, ethnohistorical, and archaeological data indicate that late 18th-century Labrador Inuit enjoyed economic success while experiencing profound social distress.

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)0.001
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: Qualitative · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.436
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0020.000
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 head0.113
GPT teacher head0.390
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.

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

Citations40
Published2000
Admission routes1
Has abstractyes

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