"It's Not Me, It's You": The Mechanisms and Process of Perceiver Effects in People with Interpersonal Problems
Bibliographic record
Abstract
Interpersonal problems are intrinsic to personality disorders. However, there is still little known about the mechanisms underlying interpersonal dysfunction. The purpose of the current thesis was to explore one likely mechanism: perceiver effects, idiosyncrasies in the way an individual tends to see other people. To determine whether interpersonal problems were linked to perceiver effects, two studies were conducted. In Study 1, participants rated the personality of four people in video-taped interactions. In Study 2, unacquainted classmates were assigned to groups that met throughout the semester and rated each group member at first impression and after four months of acquaintanceship. Study 1 showed largely null effects. Study 2 demonstrated that interpersonal problems predicted stable and mostly negative perceiver effects across time. The current program of research is the first to demonstrate that interpersonal problems predict a differentiated and stable profile of perceiver effects during social interactions, which has important clinical implications.
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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 | 0.001 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.002 |
| Scholarly communication | 0.002 | 0.002 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.024 | 0.005 |
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".