Parents’ Understanding of Genetics and Heritability
Bibliographic record
Abstract
Parents have the opportunity to educate their children to facilitate behaviours and lifestyle habits that may prevent or delay genetic disease, or mitigate predispositions within the family. We sought to determine parents' understanding of genetic knowledge and heritability. Using a quantitative survey methodology 108 volunteer participants were surveyed from a convenience sample of all parents/caregivers within the waiting room of a general children's outpatient clinic. Results indicated that average genetic knowledge levels were fairly high, with the majority of participants scoring 70-80 % correct on knowledge-based questions. Further, scores were found to be positively correlated with education, but inversely correlated with self-perceived knowledge. This finding suggests that participants with less experience tended to overestimate their knowledge. We suggest that gaps in knowledge of genetics and heritability could be improved by using educational interventions such as media campaigns, provision of informational brochures, or changes to current high school curriculum which would increase exposure to genetics and heritability for both parents and children.
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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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| 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".