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Record W2025126101 · doi:10.3167/092012906780646343

GMOs in the laboratory

2006· article· en· W2025126101 on OpenAlex
Christina Holmes

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

Bibliographic record

VenueFocaal · 2006
Typearticle
Languageen
FieldAgricultural and Biological Sciences
TopicGenetically Modified Organisms Research
Canadian institutionsDalhousie University
FundersRoyal Society
KeywordsPoliticsSociologyObject (grammar)Sociology of scientific knowledgeResponsible Research and InnovationEngineering ethicsEpistemologyPerceptionPolitical sciencePublic relationsSocial scienceLawEngineeringComputer science

Abstract

fetched live from OpenAlex

This article explores the lack of controversy over genetically modified objects (GMOs) in the daily life of a research laboratory in Canada. Scientific perceptions of GMOs and the types of knowledge valued in scientific research contribute toward an absence of discussion on the wider social implications of GMOs. Technical and epistemic knowledge are crucial for the success of a scientific project, whereas discussion of the social values involved may be allocated to particular settings, people, or research stages. GMOs, within scientific circles, are seen as many individual projects with different goals, rather than as a single object. Therefore, according to this view, it is inappropriate to be opposed to or to support GMOs in general, without first ascertaining the specifics of a particular project. How then are scientists engaged in seemingly local, distinct projects seen as globally defending this technology? Scientific expertise unevenly translates into political voice, transforming into silences as well as debates.

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 categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.916
Threshold uncertainty score0.350

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
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 head0.011
GPT teacher head0.202
Teacher spread0.191 · 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