Bibliographic record
Abstract
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.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.007 | 0.001 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".