Integrating dispositions, signatures, and the interpersonal domain.
Bibliographic record
Abstract
A person's behavior across situations can be characterized in terms of a mean level (disposition), a dispersion within the person around that mean level, and a stable organization to the pattern of dispersion (signature). The authors' goals were to examine the structure and stability of behavior, both at the level of behavioral dispositions and at the level of behavioral signatures. Participants completed event-contingent records of their social interactions over a 20-day period. Participants recorded their own social behavior (dominant, agreeable, submissive, quarrelsome) in 4 situations defined by the perceived social behavior of their primary interaction partners (agreeable-dominant, agreeable-submissive, quarrelsome- submissive, quarrelsome-dominant). Findings suggest that (a) once the normative influences of situations on behavior are removed, the remaining behavioral variation reflects both consistent cross-situational differences between individuals (dispositions) and consistent situational differences within individuals (signatures); (b) both dispositions and signatures display a 2-dimensional structure in adherence to the interpersonal circle; and (c) both dispositions and signatures constitute stable aspects of personality functioning.
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 | 0.001 | 0.006 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| 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".