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Record W4386086189 · doi:10.1177/01976931231190427

Scaling up and hunkering down: The evolution of Beothuk houses and households

2023· article· en· W4386086189 on OpenAlexaff
Donald H. Holly, John C. Erwin, Christopher B. Wolff, Stephen H. Hull, Amanda G. Samuels, Jamie Brake

Bibliographic record

VenueNorth American Archaeologist · 2023
Typearticle
Languageen
FieldEarth and Planetary Sciences
TopicArchaeology and ancient environmental studies
Canadian institutionsGovernment of Newfoundland and Labrador
Fundersnot available
KeywordsSubsistence agricultureSettlement (finance)ArchitectureGeographyEconomic geographyEconomyArchaeologyEthnologyHistoryBusinessEconomicsAgriculture

Abstract

fetched live from OpenAlex

We examine two concurrent trends in the later history of the Beothuk: changes to domestic architecture and household composition, and the narrowing of sharing obligations. The former is evident in the emergence and growth of pithouses and households, and the latter, in the partitioning of resources and the elaboration of food storage strategies. Both occur as European settlement and hostilities intensify and the Beothuk are denied access to coastal resources. These shifts may be reflective of social strategies aimed at incorporating extended family members and others from shattered homes, as well as cultural adjustments to increased sedentism and structural changes in the subsistence economy. These developments illustrate how hunter-gatherer domestic architecture can track with changes to the social environment.

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: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.111
Threshold uncertainty score0.220

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.002
Science and technology studies0.0030.004
Scholarly communication0.0030.001
Open science0.0010.003
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0030.000

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 head0.015
GPT teacher head0.208
Teacher spread0.193 · 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 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

Citations1
Published2023
Admission routes1
Has abstractyes

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