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Record W4250762285 · doi:10.1093/spp/27.2.150

Genetic nationalism

2000· article· en· W4250762285 on OpenAlexaffabout
Janet Atkinson‐Grosjean

Bibliographic record

VenueScience and Public Policy · 2000
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicRace, Genetics, and Society
Canadian institutionsUniversity of British Columbia
Fundersnot available
KeywordsNationalismLibrary scienceSociologyAnthropologyMedia studiesPolitical scienceLawComputer sciencePolitics

Abstract

fetched live from OpenAlex

Journal Article Genetic nationalism Get access French DNA: Trouble In Purgatory by Rabinow Paul The University of Chicago Press, 1999, 201, US$25.00, 0-226-70150-6 Janet Atkinson-Grosjean Janet Atkinson-Grosjean PhD Candidate (Science Studies) Interdisciplinary Studies Graduate Program, Green College, University of British Columbia, Vancouver, BC, Canada, V6T 1Z1; Tel: +1 604 822 1213; E-mail: janetat@interchange.ubc.ca Search for other works by this author on: Oxford Academic Google Scholar Science and Public Policy, Volume 27, Issue 2, April 2000, Pages 150–151, https://doi.org/10.1093/spp/27.2.150 Published: 01 April 2000

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)0.002
metaresearch head score (Gemma)0.005
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesScience and technology studies
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.995
Threshold uncertainty score0.117

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.005
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0050.006
Scholarly communication0.0040.002
Open science0.0000.001
Research integrity0.0020.002
Insufficient payload (model declined to judge)0.0350.004

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 head0.009
GPT teacher head0.271
Teacher spread0.262 · 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 designTheoretical or conceptual
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

Citations0
Published2000
Admission routes2
Has abstractyes

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