Following What People Think We Should Do Versus What People Actually Do
Bibliographic record
Abstract
This study explored cognitive elaboration as a moderator of the impact of injunctive and descriptive normative messages on behavioral intentions. Participants ( N = 246) received a message advocating a student health program that stressed either descriptive norms or injunctive norms under conditions of low elaboration or high elaboration and then responded to a series of behavioral intention questions. To determine whether the effects of type of normative message and elaboration varied across personality traits, participants’ level of self-monitoring and extraversion were measured 1–6 months prior to the experimental session. Analyses revealed a 2-way interaction between message type and elaboration, suggesting that descriptive messages were more successful under low-elaboration conditions, whereas injunctive messages were more successful under high-elaboration conditions. This 2-way interaction was not qualified by a 3-way interaction among extraversion, message type, and elaboration or a 3-way interaction among self-monitoring, message type, and elaboration.
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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 | 0.004 | 0.026 |
| 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 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.000 |
| 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".