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Record W2167034006 · doi:10.7202/032652ar

Geology of the Sheguiandah Early Man Site: Key Concepts and Issues

2007· article· en· W2167034006 on OpenAlexvenueaboutno aff
Robert E. Lee

Bibliographic record

VenueGéographie physique et Quaternaire · 2007
Typearticle
Languageen
FieldEarth and Planetary Sciences
TopicGeology and Paleoclimatology Research
Canadian institutionsnot available
Fundersnot available
KeywordsGeologyGlacial periodRadiocarbon datingStadialPaleontologySequence (biology)Ice sheetArchaeologyGeomorphologyGeography

Abstract

fetched live from OpenAlex

The first indication that man was present in Canada well before the final retreat of glacial ice was found at the village of Sheguiandah, on Manitoulin Island, Ontario, in the early 1950s. This paper summarizes the relevant evidence and arguments. The key deposits are two thin layers of diamicton toward the top of the glacial sequence, immediately below a post-glacial level characterized by Paleo-lndian projectile points. The unsorted mixtures of clay, sand and stones contain undisputed quartzite artifacts. These diamictons are considered to be till; alternatives, such as mixing by frost action and mud flows, do not explain their origin. The means by which the artifacts survived the Laurentide glaciation are suggested by the orientation and dip of the pebbles. Apparently diverted from its normal direction of flow by a tough quartzite knob, the ice lacked much erosive power at this point, only transporting the artifacts from one part of the site to another. Geological interpretation indicates that man made the artifacts now found in the tills during Early Wisconsinan interstadials. Other evidence, in the form of prehistoric quarries, pollen analyses and radiocarbon dating, supports the published age estimate of more than 30,000 years BP.

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: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.370
Threshold uncertainty score0.735

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0020.004
Science and technology studies0.0020.003
Scholarly communication0.0020.001
Open science0.0010.001
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0030.000

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 head0.276
Teacher spread0.264 · 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 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

Citations3
Published2007
Admission routes2
Has abstractyes

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