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Record W4224243333 · doi:10.1002/ajpa.24520

Famine, tea, and bread in Ireland: <scp>C282Y</scp> and modern human microevolution

2022· article· en· W4224243333 on OpenAlexaff
Stacie Burke, Thomas P. Duffy

Bibliographic record

VenueAmerican Journal of Biological Anthropology · 2022
Typearticle
Languageen
FieldMedicine
TopicIron Metabolism and Disorders
Canadian institutionsUniversity of WinnipegUniversity of Manitoba
Fundersnot available
KeywordsFamineMicroevolutionPopulationContext (archaeology)Subsistence agricultureBiologyBiotechnologyGeographyEcologyAgricultureMedicineEnvironmental health

Abstract

fetched live from OpenAlex

Abstract The HFE gene variant allele C282Y connected with hereditary hemochromatosis occurs at a frequency of about 10%–11% in Ireland, the highest known frequency in the modern global population. In this synthesis, we draw together an interdisciplinary literature to offer an agriculturally‐grounded, biocultural example of modern human adaptation and microevolution that addresses Ireland's comparatively high C282Y frequency. We argue that changing subsistence‐, diet‐, and nutrition‐related stressors framed under colonial governance played a role shaping the biology of Ireland's population historically, maintaining the C282Y variant. A population accustomed to challenges of poverty and difficult living conditions, the Irish fell under the influence of massive ecological stress with the fungus ( Phytophthora infestans ), the failed potato crops, and the Great Famine of 1845–52. From there, in the post‐Famine era, diet and nutrition altered further as the potato was exchanged for gluten‐rich wheaten bread and stewed black tea. With risks for iron deficiency anemia heightened by the cultural construction of diet and niche, an adaptive iron‐conserving advantage continued to be offered by the C282Y allele, influencing survival into the post‐Famine era. More recently, however, C282Y has been reframed as a potential risk in the context of contemporary, iron fortified diets.

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 categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.097
Threshold uncertainty score0.836

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0000.002
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 head0.014
GPT teacher head0.287
Teacher spread0.272 · 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.

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

Citations2
Published2022
Admission routes1
Has abstractyes

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