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Record W2064251198 · doi:10.1002/ajpa.21334

Investigation of diachronic dietary patterns on the islands of Ibiza and formentera, Spain: Evidence from carbon and nitrogen stable isotope ratio analysis

2010· article· en· W2064251198 on OpenAlexaff
Benjamin T. Fuller, Nicholas Márquez‐Grant, Michael P. Richards

Bibliographic record

VenueAmerican Journal of Physical Anthropology · 2010
Typearticle
Languageen
FieldEarth and Planetary Sciences
TopicArchaeology and ancient environmental studies
Canadian institutionsUniversity of British Columbia
Fundersnot available
KeywordsMediterranean climateSubsistence agricultureChalcolithicGeographyStable isotope ratioByzantine architectureEcologyBiologyArchaeologyAgriculture

Abstract

fetched live from OpenAlex

To examine how dietary patterns may have changed in the western Mediterranean through time, stable carbon and nitrogen isotope ratios were measured on extracted bone collagen from fauna (n = 75) and humans (n = 135) spanning four distinct chronological periods: Chalcolithic (c.2100-1600 BC), Punic (6th-2nd/1st century BC), Late Antiquity-Early Byzantine (4th-7th century AD), and Islamic (c.10th-13th century AD) on the islands of Ibiza and Formentera, Spain. The Chalcolithic, Punic, and Late Antiquity-Byzantine societies all showed evidence of a predominately C(3) terrestrial-based diet with a possible input of a small amount of marine and/or C(4) dietary resources. In contrast, the Islamic population on Ibiza had a subsistence strategy that was reliant on a significant amount of C(4) plants and/or animals fed a C(4) diet, likely millet. These results indicate a fairly constant C(3) terrestrial-based diet on the islands of Ibiza and Formentera through time, with a shift to C(4) dietary resources during the Islamic Period. Further research is needed from other Islamic populations in and around the Mediterranean to better understand this unique dietary adaptation. Am J Phys Anthropol 143:512-522, 2010. © 2010 Wiley-Liss, Inc.

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 categoriesScience and technology studies
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.005
Threshold uncertainty score1.000

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 studies0.0000.003
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
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 head0.013
GPT teacher head0.230
Teacher spread0.217 · 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

Citations62
Published2010
Admission routes1
Has abstractyes

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