MétaCan
Menu
← Back to cohort
Record W6998628712

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

2012· article· en· W6998628712 on OpenAlexaboutno aff

Bibliographic record

VenueDialnet (Universidad de la Rioja) · 2012
Typearticle
Languageen
FieldEarth and Planetary Sciences
TopicArchaeology and ancient environmental studies
Canadian institutionsnot available
Fundersnot available
KeywordsContext (archaeology)Stable isotope ratioIsotope analysisConsumption (sociology)DingoArchaeological science
DOInot available

Abstract

fetched live from OpenAlex

Stable isotopic research has provided archaeologists with a unique window to\nthe past. Using stable isotopes, archaeologists are able to determine various\nsocial, economic, and political aspects of a past population. Furthermore, with\nisotopic research one is also able to reconstruct the environmental and\necological context in which a past society lived. The focus of this article will be\nupon the recent isotopic research undertaken to better understand dietary\ntrends among various groups in Canada's prehistory. Specifically, this article will\nfocus upon understanding the importance of marine resources among the\ngroups living along the Northwest coast of British Columbia, as well as\nunderstanding the spread and consumption of maize among groups in the\nCanadian Prairies and southern Ontario. This paper, then, will largely be a\nsummation of past archeological research to highlight the progress that has\nbeen made in the last few decades in understanding Canada's rich and\ncolourful 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 score0.034
Threshold uncertainty score0.244

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0040.009
Science and technology studies0.0050.002
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 head0.016
GPT teacher head0.209
Teacher spread0.194 · 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

Explore more

Same venueDialnet (Universidad de la Rioja)→Same topicArchaeology and ancient environmental studies→French-language works237,207→