Information Processing in the Context of Genetic Risk: Implications for Genetic‐Risk Communication
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
Communicating genetic-risk information is fraught with difficulties, and there are no universally accepted guidelines for clinical practice. In this paper, we suggest that information-processing models may offer some guidance for the communication of genetic risk. The paper reviews selected literature from health and social psychology, including defensive reactions to threatening health information, the Extended Parallel Process Model (EPPM) and Self Affirmation Theory. Ultimately, it presents the Heuristic-Systematic Model (HSM) of information processing as a useful perspective from which to view genetic-risk communication. Through our review of this literature, we identify some of the variables found to influence the systematic or heuristic processing of risk information and note their relevance to genetic counseling contexts. We suggest that systematic information processing is conducive to informed decision-making, as well as improved understanding of risk information. Clinical practice implications derived from our review of these literatures are noted.
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 | 0.005 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 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