MétaCan
Menu
Back to cohort
Record W4225621429 · doi:10.1515/9783839457313-009

8. Infrastructuring DNA

2021· book-chapter· en· W4225621429 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.

aboutThe title or abstract carries a Canadian signal from the geographic lexicon.
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

Venuetranscript Verlag eBooks · 2021
Typebook-chapter
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicRace, Genetics, and Society
Canadian institutionsnot available
Fundersnot available
KeywordsDNABiologyGenetics

Abstract

fetched live from OpenAlex

8. Infrastructuring DNA Commercial genetic testing 1 www.23andme.com(last accessed May 28, 2020). 2 In my analysis, I concentrate on companies that offer autosomal (pertaining to chromosomes that are not sex chromosomes) DNA testing for genetic genealogy and have a matching database.Such tests are currently offered by Ancestry, FTDNA, 23andMe and MyHeritage.Besides, Living DNA offers ancestry analysis consisting of Y-DNA and mtDNA haplogroup reports, but does not currently have its own database for matching (www.livingdna.com,last accessed May 28, 2020).However, test results can be uploaded to GEDmatch if users want to search for genetic matches.A plethora of other tests are available as well.For example, Christofides and O'Doherty found 86 companies that offered direct-to-consumer genetic testing in Canada, with 29 of them offering health tests (2016: 108).'Working out relationships' required putting in effort and having matches that were 'close enough'.However, Elizabeth knew of donor-conceived people for whom finding more distant cousins had worked:

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)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: none
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.850
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0000.001
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0010.000
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 head0.012
GPT teacher head0.211
Teacher spread0.199 · 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