Causal or spurious? The relationship of knowledge and attitudes to trust in science and technology
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
Survey data on 1217 adults living in Alberta, Canada were collected by Ipsos Reid Public Affairs and made available to us for analysis. The survey questioned participants on issues related to science including their perceived knowledge of science, attitudes toward science, and trust in science and technology. We developed a structural equation model to account for the causal relations implied by the correlations among the variables in the data set. Results show that trust in generalized science and technology is a large determiner of trust in specific technologies, but that trust in specific technologies is not a determinant of overall trust in science and technology. We also found that attitudes towards science have an effect on trust in generalized science and technology whereas perceived knowledge does not. Education and gender contribute to attitudes supporting an increased personal attachment to science, which was the strongest predictor of trust in our model.
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 | 0.004 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.005 |
| Science and technology studies | 0.001 | 0.013 |
| Scholarly communication | 0.000 | 0.001 |
| 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