‘False positive’: understanding pseudocyesis through old and new perspectives
Bibliographic record
Abstract
Pseudocyesis, also known as false pregnancy, is defined as the belief of being pregnant with physical signs and symptoms in the absence of a confirmed pregnancy. Notable cases include Queen Mary, who suffered from phantom pregnancies under societal pressure to conceive in the 16th century. Although now extremely rare, at its peak it accounted for 1 in 250 pregnancies following the Second World War, and was thought to be linked to heightened gender norms and sociocultural expectations around motherhood during this time. Pseudocyesis presents with complex and unique diagnostic challenges in clinical practice. It differs from delusional pregnancy, which is a fixed belief of pregnancy without physical signs or symptoms. The condition is often associated with infertility, psychological distress and neuro-endocrine conditions affecting the reproductive system. Management requires a multidisciplinary approach, integrating psychological support and addressing underlying reproductive health issues.
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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 | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| 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".