Social Issues of Molecular Biology Applications in Communities: Focussing on Social Representations and the Public’s Perceptions
Bibliographic record
Abstract
Some say the reformation generated by advances in molecular biology will be as important as that induced by the current revolution in information technologies. Impacts and issues of this transfer of knowledge, taking the form of prognostic medicine, must therefore be examined. In this respect, one of sociologists’ contributions will surely be to examine the various actors’ points of view (geneticists, physicians, scientists, affected or at-risk individuals, citizens) in order to determine, in perceptions as much as in facts, how technical innovations issued from molecular biology can be disseminated in the social imagery as well as in practice. Based on Saguenay-Lac-St. Jean’s experience and the public interventions of the Corporation for Research and Action on Hereditary Diseases, we propose viewing community genetics as a ‘frontier discipline’, a complex network of actors in which social representations, social participation, as well as service evaluation, must be properly understood.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot 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.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.002 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, not a consensus.
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".