Too Close for Comfort? Social Distance and Emotion Perception in Remitted Bipolar I Disorder
Bibliographic record
Abstract
Bipolar disorder (BD) is a chronic psychiatric disorder that is associated withheightened and persistent positive emotion (Gruber, 2011; Johnson, 2005). Yet, we knowlittle about how troubled emotion responding may translate into dynamic face-to-faceinteractions involving others, especially in contexts where automatic social regulation ofpersonal distance from others is key to maintaining social boundaries. Using a novelsocial distance paradigm adapted from prior work (Kennedy et al., 2009), participantswith a clinical history of bipolar I disorder (BD; n = 30) and healthy controls (CTL; n =31) provided online measurements of social distance preferences in response to positive,negative, and neutral facial images, as well as subsequent social judgment and emotionperception ratings. Results suggest no group differences on social distance, socialperception, or general emotion perception ratings. However, exploratory analyses suggestthat the BD group rated positive images higher in happiness, but lower in amusement,compared to the CTL group. These findings contribute to a growing literature onsocioemotional processes in BD.
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.
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) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.003 | 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".