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Record W2122936302 · doi:10.1002/gea.21527

Chemical and Mineralogical Signatures of Archaeological Features at the Mailhot‐Curran Iroquoian Site, Eastern Canada

2015· article· en· W2122936302 on OpenAlexaffabout
François Courchesne, Marie‐Claude Turmel, Claude Chapdelaine

Bibliographic record

VenueGeoarchaeology · 2015
Typearticle
Languageen
FieldEarth and Planetary Sciences
TopicGeology and Paleoclimatology Research
Canadian institutionsUniversité de Montréal
Fundersnot available
KeywordsHearthCarbonateCalcitePaleosolGeologyCaveArchaeologyHorizonMineralMineralogyGeochemistryLoessChemistryPaleontologyGeography

Abstract

fetched live from OpenAlex

The St. Lawrence Iroquoians built villages in southwestern Quebec (Canada) along the St. Lawrence River. They left behind longhouses, hearths, middens, and storage pits like those discovered at the Mailhot‐Curran archaeological site in Saint‐Anicet. Here, we contrast the properties of Iroquoian features with undisturbed soil to define the chemical and mineralogical signature of hearths, middens, and pits. The native soil has a neutral pH and consists of an Ah horizon overlaying a Bm horizon dominated by quartz and feldspars. In the hearths, ashes are characterized by neoformed calcite and apatite with carbonates, higher total P, and enrichment in amorphous inorganic Al, Fe, and Si. The rubified layer of hearths contain poorly crystallized Fe oxides. The mineralogy of the rubified layer is dominated by authigenetic ankerite, an Fe‐carbonate mineral identified here for the first time in Iroquoian hearths. Middens have the highest organic matter content and contain more organically complexed Al and Fe than the soil. The storage pits have low pH values and carbonate content and contain high levels of amorphous Si and total P. Our work establishes the pedologic signature of three Iroquoian features despite significant alteration of their properties by post‐occupational biogeochemical processes.

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: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.026
Threshold uncertainty score0.062

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.002
Science and technology studies0.0020.001
Scholarly communication0.0010.000
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 head0.019
GPT teacher head0.223
Teacher spread0.204 · 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

Citations8
Published2015
Admission routes2
Has abstractyes

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