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Record W2501557842

ECONOMIC PREHISTORY OF THE NORTHERN BRITISH COLUMBIA COAST

2016· article· en· W2501557842 on OpenAlexaboutno aff
Kenneth M. Ames

Bibliographic record

VenueArctic Anthropology · 2016
Typearticle
Languageen
FieldSocial Sciences
TopicPleistocene-Era Hominins and Archaeology
Canadian institutionsnot available
Fundersnot available
KeywordsPrehistoryMainlandPeriod (music)GeographyArchaeologyRange (aeronautics)HabitatSubsistence agricultureLittoral zoneQueen (butterfly)Mainland ChinaOceanographyFisheryEcologyGeologyAgricultureBiology
DOInot available

Abstract

fetched live from OpenAlex

The northern British Columbia coast includes the coastal mainland and the Queen Charlotte Islands. The archaeological record of this region is not as well known as other parts of the Northwest Coast. The period between ca. 10,000 and 5000 BP is known only for the Queen Charlotte Islands, and then only poorly, while the period after 5000 BP is represented best on the mainland, particularly through excavations in Prince Rupert Harbour. Evidence from adjacent portions of the coast clearly indicates that during the earlier period the northern British Columbia coast was occupied by hunter-gatherers using marine resources and habitats. In the subsequent period, people made use of an array of littoral and marine habitats, exploiting a wide range of re- sources, including the hunting of whales off the Queen Charlotte Islands. The regional economies appear to have undergone significant intensification around 3500 BP with the emergence of a storage-based economy and subsistence patterns marked by logisti- cal moves to offshore islands and other similar locations. Faunal remains from different sites suggest that marine mammals were generally important resources, though ex- ploitation patterns appear to have been localized.

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)0.001
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 score0.024
Threshold uncertainty score0.174

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0030.005
Science and technology studies0.0060.001
Scholarly communication0.0030.001
Open science0.0010.001
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0090.001

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 head0.011
GPT teacher head0.260
Teacher spread0.248 · 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

Citations28
Published2016
Admission routes1
Has abstractyes

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Same venueArctic AnthropologySame topicPleistocene-Era Hominins and ArchaeologyFrench-language works237,207