Rapid emotional response and disadvantageous Iowa gambling task performance in women with borderline personality disorder
Bibliographic record
Abstract
BACKGROUND: Adults with Borderline Personality Disorder (BPD) manifest poor performance on tasks of decision making which may be congruent with their decisional and interpersonal conflicts in real life. Poor decision making is often assumed to be due to impulsive behaviour or weak inhibitory control despite inconsistent evidences of these relationships, leaving questions about the specific nature of these decisional deficits. Decision making in BPD may be compromised by different domains of impulsivity, affective dysregulatory processes or unknown co-morbid ADHD which is considered a developmental precursor to BPD. FINDINGS: Iowa Gambling Task (IGT) decision making, 2 tasks of inhibitory control and a self report of ADHD symptoms consisting of 9 subscales were administered to 41 BPD women and 41 healthy controls. No group differences in inhibitory control were present. Net decision making performance and all ADHD subscale ratings differed significantly among BPD women and healthy controls. BPD women did not meet the threshold indicative of moderate to severe ADHD. Three subscales of attention, behaviour/ disorganized and emotive were significantly associated with poor IGT performance in 26 women with BPD. Of these 3 variables, the emotive subscale, representing a rapid emotional response, was the only significant predictor contributing 49% to the variance in poor DM. CONCLUSIONS: This is the 1st evidence of an emotive type of impulsivity, representing a type of affective instability that is linked to poor IGT DM in BPD. Findings support the Somatic Marker Hypothesis of IGT DM and may reflect the affective dysregulation that characterizes the disorder.
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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 | 0.002 |
| 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) | 0.001 | 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".