Source entitativity and the elaboration of persuasive messages: The roles of perceived efficacy and message discrepancy.
Bibliographic record
Abstract
Compared with nonentitative groups, entitative targets are considered to elicit more elaborative processing because of the singularity or unity they represent. However, when groups serve as sources of persuasive messages, other dynamics may operate. The current research suggests that entitativity is intrinsically linked to perceptions of a group's efficacy related to the advocacy, and this efficacy combines with the position of the appeal to determine message elaboration. When messages are counterattitudinal, entitative (efficacious) sources should elicit greater processing than nonentitative groups because of concern that the entitative sources may be more likely to bring about the negative outcomes proposed. However, when appeals are proattitudinal, sources low in entitativity (nonefficacious) should initiate more elaboration due to concern that they may be unlikely to facilitate the positive outcomes proposed. These hypotheses were supported in a series of studies. Preliminary studies established the entitativity-efficacy relation (Studies 1A and 1B). Primary persuasion studies showed that manipulations of source entitativity (Studies 2 and 3) and source efficacy (Studies 4A and 4B) have opposite effects on processing as a function of message discrepancy.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.002 | 0.000 |
| 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 | 0.003 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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 teacher head, 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".