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Record W4387342368 · doi:10.1080/15564894.2023.2227135

“… the most delicious fish …”—toward a zooarchaeology of the green sea urchin, <i>Strongylocentrotus droebachiensis</i> , on the coastal Northeast of North America

2023· article· en· W4387342368 on OpenAlexafffund
A. Katherine Patton, Arthur Anderson, David W. Black

Bibliographic record

VenueThe Journal of Island and Coastal Archaeology · 2023
Typearticle
Languageen
FieldHealth Professions
TopicIndigenous Studies and Ecology
Canadian institutionsUniversity of New BrunswickUniversity of Toronto
FundersSocial Sciences and Humanities Research Council of CanadaHarrison McCain FoundationUniversity of New BrunswickNational Geographic Society
KeywordsStrongylocentrotus droebachiensisSea urchinArchaeologyZooarchaeologyExtant taxonFisheryGeographyHistoryEcologyBiology

Abstract

fetched live from OpenAlex

Recent studies have underlined the importance of shellfish in Ancestral Wabanaki diets. Green sea urchin (Strongylocentrotus droebachiensis) remains are a substantial component of shellfish assemblages from some Ancestral Wabanaki habitation sites and are present in smaller amounts in many other archaeological sites on the coastal Northeast. We summarize extant knowledge of archaeological sea urchin remains in the Quoddy Region of New Brunswick and Maine, part of the traditional homeland of the Peskotomuhkatiyik (the Passamaquoddy people). We position this information in regional historical, ecological, and archaeological contexts. Our results suggest that sea urchins were harvested at specific points in the annual tidal cycle. We also suggest that changes in sea urchin abundance through time could reflect changes in local environments, perhaps partially associated with changing climates.

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)0.002
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesScience and technology studies
Consensus categoriesScience and technology studies
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.357
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0030.004
Scholarly communication0.0000.000
Open science0.0010.002
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0000.000

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 head0.015
GPT teacher head0.270
Teacher spread0.255 · 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; both teacher heads agree on what is shown here.

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

Citations0
Published2023
Admission routes2
Has abstractyes

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