MétaCan
Menu
Back to cohort

Biobanking: International Norms

2005· review· en· W2021637549 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.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueThe Journal of Law Medicine & Ethics · 2005
Typereview
Languageen
FieldMedicine
TopicBiomedical Ethics and Regulation
Canadian institutionsUniversité de Montréal
Fundersnot available
KeywordsBiobankHumanityHuman rightsNormativePolitical scienceInternational lawDeclarationSubject (documents)Human cloningBioethicsEngineering ethicsLawDeclaration of HelsinkiResearch ethicsEnvironmental ethicsInformed consentMedicineBiologyGeneticsAlternative medicine

Abstract

fetched live from OpenAlex

While the socio-ethical and legal issues surrounding clinical genetics have long been the subject of international interest, the thorny questions of genetic research and biobanking are more recent. Add to this the fact that national guidelines and laws usually precede international policymaking, and the delay in international approaches is understandable. In that regard, the United Nations Educational, Scientific and Cultural Organization’s 1997 Universal Declaration on the Human Genome and Human Rights is unique in its prospective guidance on genetic research. Also, it is in the very nature of international normative instruments to be general, except on specific issues considered to be in the interest of humanity, such as research into human reproductive cloning or access to AIDS drugs.

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)0.008
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesResearch integrity
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Other design · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.962
Threshold uncertainty score0.995

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0080.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0020.001
Bibliometrics0.0000.000
Science and technology studies0.0000.003
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0010.008
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 head0.297
GPT teacher head0.504
Teacher spread0.206 · 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