MétaCan
Menu
Back to cohort

The Similar-Sounding Surnames of Haplogroup R-BY140757

2020· article· en· W3176511052 on OpenAlexaff
Mike Fitzpatrick

Bibliographic record

VenueJournal of the Fitzpatrick Clan Society · 2020
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicForensic and Genetic Research
Canadian institutionsCanadian Rheumatology Association
Fundersnot available
KeywordsHaplogroupClanGenealogyPedigree chartHistoryHaplotypeTribeEthnologySociologyGeneticsBiologyAnthropologyAllele

Abstract

fetched live from OpenAlex

Y-DNA analysis is a remarkable method that can inform patrilineal genealogies, both ancient, and modern. Applied here to facilitate a critical review of Branan pedigrees, an analysis of haplogroup R-BY140757 results in a deep questioning of the dominant narratives of the O’Braonáin Uí Dhuach (O’Brenan of Idough). What results is a disruption of those narratives that is total. The O’Braonáin Uí Dhuach, held by Ossorian historians to share descent from Cearbhall, King of Osraí (843-888 AD), we argue, are not Osraighe, but are an Uí Failghi tribe – this based on the ultimate authority of Dubhaltach Mac Fhirbhisigh. Hence, Y-DNA connections between Branans, or those with similar-sounding surnames, and related others, are a false trail for those who claim descent from Cearbhall. Once Mac Fhirbhisigh is embraced, and the erroneous pedigrees of the O’Braonáin Uí Dhuach are set aside, the origins of men with Branan, and similar-sounding surnames, of haplogroup R-BY140757, can be correctly determined. And, based on Y-DNA haplotype analysis, it is considered those origins are not with the O’Braonáin Uí Dhuach, or any Irish clan. Rather, haplotype R-BY140757 appears to have originated from a family who settled near Braham, in Suffolk, after the Norman conquest of England. The key figure in the appearance of R-BY140757 pedigrees in Éire is Sir Robert de Braham, who was Sheriff of Kilkenny ca. 1250 AD.

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)0.001
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: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.088
Threshold uncertainty score0.215

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.001
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0010.000
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 head0.015
GPT teacher head0.251
Teacher spread0.236 · 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 designNot applicable
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

Citations10
Published2020
Admission routes1
Has abstractyes

Explore more

Same venueJournal of the Fitzpatrick Clan SocietySame topicForensic and Genetic ResearchFrench-language works237,207