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Record W179135457

The applications of stable isotope research in Canadas archaeological past: reconstruction of ancient diets in the northwest Pacific coast, the Canadian Prairies and southern Ontario

2012· article· en· W179135457 on OpenAlexaboutno aff
Claire Venet Rogers

Bibliographic record

VenueArchaeobios · 2012
Typearticle
Languageen
FieldEarth and Planetary Sciences
TopicArchaeology and ancient environmental studies
Canadian institutionsnot available
Fundersnot available
KeywordsPrehistoryArchaeologyContext (archaeology)GeographyIsotope analysisPopulationHistoryEthnologyOceanographyGeologySociology
DOInot available

Abstract

fetched live from OpenAlex

Stable isotopic research has provided archaeologists with a unique window to the past. Using stable isotopes, archaeologists are able to determine various social, economic, and political aspects of a past population. Furthermore, with isotopic research one is also able to reconstruct the environmental and ecological context in which a past society lived. The focus of this article will be upon the recent isotopic research undertaken to better understand dietary trends among various groups in Canada's prehistory. Specifically, this article will focus upon understanding the importance of marine resources among the groups living along the Northwest coast of British Columbia, as well as understanding the spread and consumption of maize among groups in the Canadian Prairies and southern Ontario. This paper, then, will largely be a summation of past archeological research to highlight the progress that has been made in the last few decades in understanding Canada's rich and colourful past.

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: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.032
Threshold uncertainty score0.233

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0040.011
Science and technology studies0.0040.002
Scholarly communication0.0020.001
Open science0.0010.001
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0020.000

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 head0.028
GPT teacher head0.228
Teacher spread0.200 · 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

Citations0
Published2012
Admission routes1
Has abstractyes

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