Jumping to social conclusions?: The implications of early and uninformed social judgements in first episode psychosis.
Bibliographic record
Abstract
= 35) were presented with a modified version of the Interpersonal Perception Task in which video clips of naturalistic social scenarios were paused at 3 predetermined time points. All participants were prompted to answer a series of questions during these time points to examine the processes by which individuals arrive at social judgments. A JTC response pattern was defined as endorsing overconfident responses and a low need for additional social information at the beginning time points of the video clips when limited social cues were available. Compared with controls, a greater proportion of patients exhibited a response pattern suggestive of JTC, which was also strongly associated with poorer overall task accuracy, regardless of group status. Results from this study provide evidence that overconfidence in premature and uninformed social judgments has direct consequences for the accurate processing of social information. Furthermore, this response pattern, which was more characteristic of early psychosis patients, may represent JTC in real-world social contexts, and could be an important therapeutic target for social cognition in the early stages of illness. (PsycINFO Database Record (c) 2019 APA, all rights reserved).
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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 | 0.002 | 0.022 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| 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".