New Advances Reconstructing the Y Chromosome Haplotype of Napoleon the First Based on Three of his Living Descendants
Bibliographic record
Abstract
This paper describes the findings of the complete reconstruction of the lineage Y chromosome haplotype of the French Emperor Napoléon I. In a previous study (Lucotte et al., 2013) we reconstructed, for more than one hundred Y-STRs (Y–short tandem repeats), the Y-chromosome haplotype of Napoléon I based on data comparing STR allelic values obtained from the DNA of two of his living descendants: Charles Napoléon (C.N.) and Alexandre Colonna Walewski (A.C.W.); in the present study we compare STR allelic values of C.N. and A.C.W. to those of Mike Clovis (M.C.), a living fifth generation descendant of Lucien (one of Napoléon’s brothers). When compared between M.C., C.N. and A.C.W., STR allelic values are identical for a total of 93 STRs; that permits us to propose those values, for which the three living descendants are identical, as expected allelic values of Napoléon I’s Y-chromosome haplotype. For seven STRs, allele values are variable between M.C., C.N. and A.C.W.; we propose for three of them (DYS442, DYS454 and DYS712) expected allelic values, based on data concerning the allele distributions of these STRs in the population.
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 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".