The Girl Who Ate Her House—Pica as an Obsessive-Compulsive Disorder
Bibliographic record
Abstract
This report concerns the interesting clinical phenomenology of a 17-year-old Ethiopian female student with a long-standing history of ingesting nonnutritive materials. She was initially non-selective, but later began more exclusively consuming mud obtained from a wall in front of her house. She suffered from a feeding and eating disorder known as pica. Currently, there is no clearly established etiology for pica. This patient's particular psychopathology—recurrent, unwanted, intrusive images and thoughts of the mud wall and of eating the mud; feelings of distress and anxiousness that were not relieved unless she consumed mud; and significant effects on her daily life from her uncontrollable need to return home to eat mud from her wall—suggests an ego-dystonic, obsessive thought-distress-consumption-relief pattern that is consistent with obsessive-compulsive disorder. This case may contribute to the etiological understanding that some forms of pica may be part of the obsessive-compulsive spectrum disorders.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.002 | 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 source (direct Gemma or distilled Codex), 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".