MétaCan
Menu
Back to cohort
Record W841665802

Geoarchaeological Investigations and OSL Dating Evidence in an Archaic and Paleoindian Context at the Helen Blazes Site (8BR27), Brevard County, Florida

2012· article· en· W841665802 on OpenAlexfundno aff
W.J. Rink, Sherry Dunbar, Glen H. Doran, Charles Frederick, Brittney Gregory

Bibliographic record

VenueMacSphere (McMaster University) · 2012
Typearticle
Languageen
FieldSocial Sciences
TopicArchaeology and Natural History
Canadian institutionsnot available
FundersNatural Sciences and Engineering Research Council of Canada
KeywordsArchaeologyContext (archaeology)GeologyGeoarchaeologyHistory
DOInot available

Abstract

fetched live from OpenAlex

The excavation of the Helen Blazes site (8BR27) between 1949 and 1951 by William Edwards was remarkable for its time, but the assemblage of Archaic and Paleoindian artifacts yielded no materials that could be scientifically dated. This article reports on new excavations at Helen Blazes that were designed to incorporate optically stimulated luminescence (OSL) dating of quartz sand grains and sedimentological studies of the sediment aimed at a better understanding of the depositional context. The new excavations yielded lithic materials with typologies consistent with those found by Edwards (1954). Samples for sedimentological study were analyzed to better understand the depositional context of cultural materials by means of geoarchaeological analysis of site deposits. The OSL ages ranging from about 5,400 to 12,000 years before present are in line with expectation for Archaic to Paleoindian period contexts. However, the sedimentological and geoarchaeological interpretation together with the fine detail of the OSL results suggest that the cultural material at the site was buried by bioturbation and internal reorganization of the deposits rather than normal geological sedimentation following occupation.

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 score0.209
Threshold uncertainty score0.415

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0030.002
Science and technology studies0.0010.001
Scholarly communication0.0010.000
Open science0.0000.001
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 head0.046
GPT teacher head0.258
Teacher spread0.212 · 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

Citations6
Published2012
Admission routes1
Has abstractyes

Explore more

Same venueMacSphere (McMaster University)Same topicArchaeology and Natural HistoryFrench-language works237,207