The potential impact of genetic counseling for mental illness
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
Mental disorders are relatively highly heritable, yet complex with important interactions between genetic risk and environmental factors in determining illness expression. Due to the high prevalence of these complex disorders, steady increase in knowledge about genetic contributions, and increasing public awareness, this area may come to represent a significant proportion of all genetic counseling. The potential impact of genetic counseling in mental illness is broad. As well as the conventional expectations, genetic counseling may have the positive outcomes of reducing the guilt, shame, and stigma associated with mental illness, even within families. However, like many interventions in medicine, genetic counseling for mental disorders could potentially have unintended consequences resulting in increased stigma, guilt, and shame. The potential impacts of genetic education and providing recurrence risks on stigma are reviewed, as well as the role of education about the environment as a way of modifying family members' guilt. The review allows a preliminary formulation of a series of suggestions for genetic counseling in mental illness.
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 | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.002 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.001 | 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