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Record W4313482121 · doi:10.1002/ajpa.24683

Pace and space in the practice of <scp>aDNA</scp> research: Concerns from the periphery

2022· article· en· W4313482121 on OpenAlexaff
Bernardo Yáñez, Agustín Fuentes, Constanza P. Silva, Gonzalo Figueiro, Lumila Paula Menéndez, Vivette García‐Deister, Constanza de la Fuente Castro, Columba González‐Duarte, Camila Tamburrini, Juan Manuel Argüelles

Bibliographic record

VenueAmerican Journal of Biological Anthropology · 2022
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicRace, Genetics, and Society
Canadian institutionsMount Saint Vincent University
Fundersnot available
KeywordsPaceSpace (punctuation)Computational biologyData scienceComputer scienceBiologyGeography

Abstract

fetched live from OpenAlex

Aging Medicine is an open access journal for international collaboration in multiple research disciplines across the aging sciences. The American Journal of Biological Anthropology is a physical anthropology publication, accepting evolutionary articles in bioarcheology, human & primate biology, & more

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 imitation

Not 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.

metaresearch head score (Codex)0.205
metaresearch head score (Gemma)0.272
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesMetaresearch, Science and technology studies
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.990
Threshold uncertainty score0.980

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.2050.272
Meta-epidemiology (narrow)0.0000.001
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0020.003
Science and technology studies0.0100.033
Scholarly communication0.0150.011
Open science0.0040.011
Research integrity0.0070.009
Insufficient payload (model declined to judge)0.0100.001

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.

Opus teacher head0.043
GPT teacher head0.358
Teacher spread0.314 · 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

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

Study designQualitative
Domainnot available
GenreEmpirical

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".

Quick stats

Citations15
Published2022
Admission routes1
Has abstractyes

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