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Record W1498556839 · doi:10.1126/science.289.5482.1142

Protecting Communities in Biomedical Research

2000· article· en· W1498556839 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

VenueScience · 2000
Typearticle
Languageen
FieldMedicine
TopicEthics in Clinical Research
Canadian institutionsDalhousie University
Fundersnot available
KeywordsTypologyIdentification (biology)Research ethicsInformed consentBiorepositoryCommunity standardsEngineering ethicsCommon RulePublic relationsPolitical scienceSociologyMedicineBiobankBiologyLawAlternative medicineEngineeringBioinformaticsEcologyPathology

Abstract

fetched live from OpenAlex

Although for the last 50 years, ethicists dealing with human experimentation have focused primarily on the need to protect individual research subjects and vulnerable groups, biomedical research, especially in genetics, now requires the establishment of standards for the protection of communities. We have developed such a strategy, based on five steps. (i) Identification of community characteristics relevant to the biomedical research setting, (ii) delineation of a typology of different types of communities using these characteristics, (iii) determination of the range of possible community protections, (iv) creation of connections between particular protections and one or more community characteristics necessary for its implementation, and (v) synthesis of community characteristics and possible protections to define protections appropriate for each type of community. Depending on the particular community, consent and consultation, consultation alone, or no added protections may be required for research.

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)0.047
metaresearch head score (Gemma)0.027
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMetaresearch, Science and technology studies, Research integrity, Insufficient payload (model declined to judge)
Consensus categoriesMetaresearch
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Other design · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.795
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0470.027
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.003
Science and technology studies0.0000.007
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0000.004
Insufficient payload (model declined to judge)0.0010.000

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 head0.851
GPT teacher head0.723
Teacher spread0.129 · 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