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Record W2556681908 · doi:10.1515/opar-2016-0015

Middle Dorset Communal Structures on Victoria Island

2016· article· en· W2556681908 on OpenAlexafffundabout
T. Max Friesen

Bibliographic record

VenueOpen Archaeology · 2016
Typearticle
Languageen
FieldHealth Professions
TopicIndigenous Studies and Ecology
Canadian institutionsUniversity of Toronto
FundersSocial Sciences and Humanities Research Council of CanadaGovernment of Canada
KeywordsBayArcticGeographyArchaeologyRadiocarbon datingPeriod (music)The arcticPopulationOceanographyGeologyDemography

Abstract

fetched live from OpenAlex

Abstract This paper describes a cluster of large communal structures in the Oxford Bay region of southeastern Victoria Island in Nunavut, Arctic Canada. The structures consist of linear stone outlines of up to 24 meters in length, and resemble the relatively well-documented Late Dorset longhouses which have been found across much of the Eastern Arctic. However, radiocarbon dates indicate that the Oxford Bay structures were built and used from roughly 200 to 600-700 cal AD, placing them in the Middle Dorset period. Elsewhere, Middle Dorset communal structures are rare, making the Oxford Bay phenomenon unique. The sites are interpreted as resulting from population aggregations associated with the fall caribou hunt, and may represent direct predecessors of the more widespread Late Dorset longhouses.

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)0.000
metaresearch head score (Gemma)0.000
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: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.441
Threshold uncertainty score0.888

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0020.001
Scholarly communication0.0010.000
Open science0.0010.002
Research integrity0.0000.000
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 head0.068
GPT teacher head0.396
Teacher spread0.329 · 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

Citations3
Published2016
Admission routes3
Has abstractyes

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