The public opinion climate for gene technologies in Canada and the United States: competing voices, contrasting frames
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.
Bibliographic record
Abstract
This exploratory study of Canadian and US public opinion about gene technologies is based primarily on survey data collected by the Government of Canada, with media data from a widely available commercial database (LexisNexis) used in an illustrative case study of the apparent resonance between the climate of opinion and media frames in different regions of the two countries. The study uses regression modeling, factor analysis and cluster analysis to characterize the structure of the opinion data, concluding that observed opinion differences might be understood in terms of the greater number of individuals in the United States who belong to an identifiable opinion group that believes these technologies are benign and must be developed (termed, for convenience, “true believers”), as well as a somewhat greater number in Canada who belong to a group believing that ordinary people should be able to decide based on ethical considerations (“ethical populists”). However, the most common group in each country is made up of people who believe risks or costs and benefits should be weighed in developing policy, and that this should be done by experts (“utilitarians”). This group and two other cluster groups identified in the analysis (“moral authoritarians” and “democratic pragmatists”) exist in roughly equivalent proportions in both countries, with some regional variation evident within each. While these observations represent descriptive findings only, they nevertheless underscore the complexity of the opinion climate and problematize the development of consensus policy. Preliminary analysis of news coverage of selected gene technologies revealed both similarities and differences in patterns of news discourse between Canada and the US. A sample of stem cell coverage for February 2004, following the American Association for the Advancement of Science meeting in Seattle (during which the announcement of new Korean research on human cloning was made), was used as a case study for a pilot media analysis.
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 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 | 0.003 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.002 | 0.003 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.001 | 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 it