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Record W4399393823 · doi:10.1080/14614103.2024.2360236

W8banaki Subsistence Patterns During the 18th and 19th Centuries at the Fort Odanak Site, Québec, Canada

2024· article· en· W4399393823 on OpenAlexafffundabout
Sarah A. Robert, Allison Bain, Najat Bhiry, Geneviève Treyvaud, Roxane Lévesque

Bibliographic record

VenueEnvironmental Archaeology · 2024
Typearticle
Languageen
FieldEarth and Planetary Sciences
TopicArchaeology and ancient environmental studies
Canadian institutionsInstitut National de la Recherche ScientifiqueCenter for Northern StudiesUniversité Laval
FundersNatural Sciences and Engineering Research Council of CanadaFonds de Recherche du Québec-Société et Culture
KeywordsSubsistence agricultureArchaeologyGeographyLate 19th centuryHistoryEconomic geographyPeriod (music)ArtAgriculture

Abstract

fetched live from OpenAlex

Built in the early eighteenth century on the banks of the Saint-François River (Québec, QC, Canada), the fortified Jesuit mission of Saint-François-de-Sales was an important W8banaki centre during the colonial period. Between 2010 and 2021, archaeological excavations conducted by the W8banaki Nation led to the discovery of the mission’s remains at the Fort Odanak site (CaFe-7) in the historical centre of the village of Odanak. They revealed numerous pit features (used for food storage or refuse disposal), post moulds and hearths, along with diverse artifact assemblages. The analysis of plant macro-remains found in six pits and two hearths at the site was undertaken to document the evolution of culinary practices at the mission and to reconstruct the local environment and its exploitation by the mission’s inhabitants. Results suggest the persistence of traditional Indigenous subsistence patterns during the eighteenth and nineteenth centuries as well as the integration of European foods into the Abenaki diet via trade and close contact with Canadien (i.e. French Canadian) farmers in the region.

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 categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.530
Threshold uncertainty score0.998

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.003
Scholarly communication0.0000.000
Open science0.0000.000
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 head0.003
GPT teacher head0.146
Teacher spread0.143 · 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 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

Citations2
Published2024
Admission routes3
Has abstractyes

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