MétaCan
Menu
Back to cohort
Record W2787836069 · doi:10.17159/sajs.2018/a0253

Ancient human DNA: How sequencing the genome of a boy from Ballito Bay changed human history

2018· article· en· W2787836069 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

fundA Canadian funder is recorded on the work.
no affNo Canadian affiliation: this work is invisible to an affiliation-only frame.
No Canadian affiliation. An affiliation-only frame, the usual design, would never have seen this work. It is one of the works that make the case for inverting the frame.

Bibliographic record

VenueSouth African Journal of Science · 2018
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicForensic and Genetic Research
Canadian institutionsnot available
FundersVetenskapsrådetUniversity of TorontoNational Research FoundationKnut och Alice Wallenbergs StiftelseGöran Gustafssons Stiftelser
KeywordsBayHuman genomeAncient DNADNA sequencingDNAGenomeEvolutionary biologyBiologyWhole genome sequencingComputational biologyGeneticsGeneArchaeologyGeographyMedicine

Abstract

fetched live from OpenAlex

Being able to extract DNA and then sequence the full genomes of ancient human remains from tropical coasts is often considered precarious because of the warm, humid climate. Yet, we have now demonstrated the successful sequencing of full genomes (i.e. gaining the information of all chromosomes -including autosomes, X-chromosomes, Y-chromosomes and mitochondrial DNA) obtained from Stone Age human remains found along the tropical east coast of southern Africa. 1 With a minimalist sampling strategy, causing the least amount of morphological damage, we sequenced genome-wide data from three sets of approximately 2000-year-old human remains found 60 years ago on the Ballito and Doonside beaches of KwaZulu-Natal, South Africa. One set of remains -those of a young boy (Figure

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.

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 categoriesScience and technology studies
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.153
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.003
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 head0.040
GPT teacher head0.272
Teacher spread0.232 · 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