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Record W578432770 · doi:10.18999/sumrua.12.169

British Columbiaから採取された獣骨および人骨のAMS ^C年代

2001· article· ja· W578432770 on OpenAlexaboutno aff
雅代 南, Masayo Minami, Brian Chisholm, 宏男 武藤, Hiroo Muto, 俊夫 中村, Toshio Nakamura

Bibliographic record

VenueInstitutional Repositories DataBase (IRDB) · 2001
Typearticle
Languageja
FieldEngineering
TopicMilitary Technology and Strategies
Canadian institutionsnot available
Fundersnot available
KeywordsGeography

Abstract

fetched live from OpenAlex

We measured ^<14>C ages, carbon and nitrogen stable isotopic ratios of gelatin-collagens extracted from deer and human bones at British Columbia, Canada. The deer bone samples, samples #1〜#3,come from a site in the interior of British Columbia, designated as DhRa-02 site. The human bone samples, samples #4〜#6,are from the Pender Canal site, on North Pender Island, British Columbia. In general, reliable ^<14>C ages, carbon and nitrogen stable isotopic ratios can be obtained for collagens extracted from fossil bones, provided that the collagens have been preserved well from weathering in nature. Experimental yields of gelatin-collagens were higher than 0.7%, except for sample #1 with 0.25%. For sample #1,we tried to extract amino acid fractions by hydrolyzation and XAD-2 treatment and to measure its ^<14>C age. The age is the same as that of gelatin-collagen, about 1200 yrBP. Samples #1 and #2 are situated stratigraphically above a volvcanic ash, identified as Mazama tephra ca 6800 yrBP, and have post-ash dates, 1260 and 3010 yrBP, respectively. Sample #3 shows 3820 yrBP, younger than the age of Mazama tephra, though #3 comes from a pre-ash layer. Samples #4〜#6 have relatively high gelatin yields of 6〜9%, and show the ^<14>C ages of 3120〜3550 yrBP. The CO_2 yields from the gelatin-collagens of samples #1〜#6 are over 41%, consistent with the value of 40〜50% for gelatin-collagen extracted from fresh bones. Thus, the ^<14>C ages, carbon and nitrogen stable isotopic ratios obtained for the gelatin-collagens seem to be reliable. The deer bone samples #1〜#3 demonstrate δ^<13>C value of 〜-21‰ and δ^<15>N value of +5〜+8‰, which are the values of C3 millets. On the other hand, the human bone samples #4〜#6 show relatively high δ^<13>C value of -13‰ and δ^<15>N value of +18‰. It is thought that they ate marine products such as fishes and shellfishes, with δ^<13>C value of -15〜-20‰ and δ^<15>N value of +15〜+20‰, when they were alive. The high δ^<13>C and δ^<15>N values for the human bones are caused by the food resources.

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 distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Insufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.734
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.001
Science and technology studies0.0010.001
Scholarly communication0.0000.002
Open science0.0010.000
Research integrity0.0010.001
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 head0.012
GPT teacher head0.222
Teacher spread0.210 · 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 teacher head, not a consensus.

Study designNot applicable
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
Published2001
Admission routes1
Has abstractyes

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