Offspring of parents with schizophrenia, bipolar disorder, and depression
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
Offspring of parents with severe mental illness, including schizophrenia, bipolar disorder, and major depressive disorder, have a one-in-three risk of developing severe mental illness themselves. Over the last 60 years, three waves of familial high-risk studies examined the development of severe mental illness in offspring of affected parents. The first two waves established familial nature of schizophrenia, and demonstrated early impairment in offspring of affected parents. The most recent wave has added a focus on mood disorders and examined the transdiagnostic nature of familial risk. A synthesis of current knowledge on individuals at familial risk points to psychopathology, neurocognitive, neuroanatomical, and environmental factors involved in the familial transmission of severe mental illness. Although family history remains the single strongest predictor of illness, molecular genetic tools are becoming increasingly informative. The next decade may see family history and molecular genetics complementing each other to facilitate a transdiagnostic approach to early risk identification and prevention.
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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 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 it