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Record W315995069

Thermal activation characteristics and thermoluminescence of chert from the Red Wing, Ontario region, and its putative heat treatment in prehistory

2005· article· en· W315995069 on OpenAlexaboutno aff
D.I. Godfrey‐Smith, Luc Bouchet-Bert, Peter H. von Bitter, Peter L. Storck

Bibliographic record

VenueGeochronometria · 2005
Typearticle
Languageen
FieldEngineering
TopicAdvanced Chemical Sensor Technologies
Canadian institutionsnot available
Fundersnot available
KeywordsThermoluminescencePrehistoryArchaeologyContext (archaeology)GeologyOutcropThermoluminescence datingNatural (archaeology)MineralogyPaleontologyGeographyIrradiation
DOInot available

Abstract

fetched live from OpenAlex

One of the still-outstanding questions in New World archaeology is whether pre- historic toolmakers here heat-treated chert raw material prior to the manufacture of stone tools, as had been demonstrated for a number of cultural loci in the Old World. This question is of particular relevance to our understanding of the technological behaviour of the Early Paleoindian people of the Parkhill complex, which has been dated between 10,400 and 11,300 14 C years ago. To address it, we studied chert samples from in situ geological contexts, from reworked contexts such as glacier-plucked surface scatters or creek gravels, and from a nearby archaeological context. The samples from archaeological contexts have been flaked in antiq- uity, subsequently buried, and recovered during an archaeological excavation. We compared the thermoluminescence (TL) properties of these unknowns with those of ex- perimentally annealed cherts. The control samples, collected and flaked from the lowest of four chert layers at the Fossil Hill Formation outcrop, were annealed for four hours at 300∞C, 400∞C, and 600∞C. Our investigation focused on the TL sensitivity of the 100∞C TL peak, which is not present in natural TL but is easily observed by prompt TL following beta or gamma dose irradiation. This peak undergoes a greater sensitivity change than the high-temperature TL following heat treatment, therefore it may be considered a far more sensitive paleothermometer. The thermal activation characteristic (TAC) of the cherts was also exam- ined. In addition, we studied the natural TL and dose response of the high-temperature TL of the cherts, and their response to illumination by natural light. On the basis of these investigations we conclude that prior heat treatment is readily detect- able in Red Wing chert, however that it has not taken place in the archaeological material we examined. This conclusion is confirmed by the excessive apparent ages of the archaeo- logical cherts, which are an order of magnitude higher than any reasonable archaeological estimates for the presence of humans in the New World. Chert self dose rates were based on ICPMS-determined U and Th radioisotope chain concentrations, and XRF-determined K concentrations. In addition, we found that the high-temperature TL signal in chert is sensitive to reduction by exposure to natural light. This may possibly yield a spuriously lower TL signal in surface- collected archaeological material than in self-same geological samples collected recently, and may thus lead to an erroneous conclusion of past heat treatment. A correct procedure for the accurate detection of chert heat treatment in antiquity is proposed. K K K Key words PALEOINDIAN, HEAT TREATMENT, CHERT, FLINT, PARKHILL COM- PLEX, THERMAL ACTI- VATION, CHERT AN- NEALING, CHERT BLEACHING, THER- MOLUMINESCENCE,

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: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.536
Threshold uncertainty score0.922

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 studies0.0010.001
Scholarly communication0.0010.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

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 head0.205
Teacher spread0.188 · 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 designBench or experimental
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

Citations10
Published2005
Admission routes1
Has abstractyes

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