The Crucial Role of Calibration in Molecular Date Estimates for the Peopling of the Americas
Bibliographic record
Abstract
1. Hedrick, P. (2008). East Asian and Melanesian ancestry in Poly-nesians. Am. J. Hum. Genet. 83, this issue, 139–140.2. Kayser, M., Brauer, S., Cordaux, R., Casto, A., Lao, O., Zhivotov-sky, L.A., Moyse-Faurie, C., Rutledge, R.B., Schiefenho¨vel, W.,Gil, D., et al. (2006). Melanesian and Asian origins of Polyne-sians: mtDNA and Y chromosome gradients across the Pacific.Mol. Biol. Evol. 23, 2234–2244.3. Kayser, M., Lao, O., Saar, K., Brauer, S., Wang, X., Nu¨rnberg, P.,Trent,R.J.,andStoneking,M.(2008).Genome-wideanalysisin-dicates more Asian than Melanesian ancestry of Polynesians.Am. J. Hum. Genet. 82, 194–198.4. Kayser, M., Brauer, S., Weiss, G., Underhill, P.A., Roewer, L.,Schiefenho¨vel, W., and Stoneking, M. (2000). Melanesianorigin of Polynesian Y chromosomes. Curr. Biol. 10, 1237–1246.5. Hage, P., and Marck, J. (2003). Matrilineality and the Melane-sian origin of Polynesian Y chromosomes. Curr. Anthropol.44, 121–127.6. Kirch, P.V. (1997). The Lapita Peoples: Ancestors of the OceanicWorld (Oxford: Blackwell).7. Summerhayes, G.R. (2007). Island Melanesian past: A viewfrom archaeology. In Genes, Language, and Culture Historyin the Southwest Pacific, J.S. Friedlaender, ed. (Oxford: OxfordUniversity Press), pp. 10–35.8. Murdock, G.P. (1967). World Ethnographic Atlas (Pittsburgh,PA: University of Pittsburgh Press).9. Hage, P. (1998). Was Proto-Oceanic society matrilineal? Journalof the Polynesian Society 107, 365–379.10. Excoffier, L., Estoup, A., and Cornuet, J.M. (2005). Bayesiananalysisofanadmixturemodelwithmutationsandarbitrarilylinked markers. Genetics 169, 1727–1738.11. Laval,G.,andExcoffier,L.(2004).SIMCOAL2.0:Aprogramtosimulate genomic diversity over large recombining regions ina subdivided population with a complex history. Bioinfor-matics 20, 2485–2487.12. Fagundes, N.J., Ray, N., Beaumont, M., Neuenschwander, S.,Salzano,F.M.,Bonatto,S.L.,andExcoffier,L.(2007).Statisticalevaluation of alternative models of human evolution. Proc.Natl. Acad. Sci. USA 104, 17614–17619.13. Friedlaender, J.S., Friedlaender, F.R., Reed, F.A., Kidd, K.K.,Kidd,J.R.,Chambers,G.K.,Lea,R.A.,Loo,J.H.,Koki,G.,Hodg-son, J.A., et al. (2008). The genetic structure of PacificIslanders. PLoS Genet 4, e19.14. Kayser, M., Choi, Y., van Oven, M., Mona, S., Brauer, S., Trent,R.J., Suarkia, D., Schiefenho¨vel, W., and Stoneking, M. (2008).The impact of the Austronesian expansion: Evidence frommtDNA and Y-chromosome diversity in the Admiralty Islandsof Melanesia. Mol. Biol. Evol. 25, 1362–1374.15. Heider, K.G. (1970). The Dugum Dani: A Papuan Culture inthe Highlands of West New Guinea (Chicago: Aldine).16. Schiefenho¨vel, W.(1988). Geburtsverhaltenund reproduktiveStrategienderEipo.InMensch,KulturundUmweltimzentra-len Bergland von West-Neuguinea, K. Helfrich, V. Jacobsha-gen, G. Koch, K. Krieger, W. Schiefenho¨vel, and W. Schultz,eds. (Berlin: Dietrich Reimer Verlag).
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 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 | 0.032 | 0.146 |
| Meta-epidemiology (narrow) | 0.002 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.003 | 0.003 |
| Science and technology studies | 0.003 | 0.003 |
| Scholarly communication | 0.004 | 0.004 |
| Open science | 0.002 | 0.003 |
| Research integrity | 0.002 | 0.003 |
| Insufficient payload (model declined to judge) | 0.004 | 0.002 |
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".