Confusing One Instrumental Other for Another: Goal Effects on Social Categorization
Bibliographic record
Abstract
How do everyday goals shape the way people categorize others in the social environment? Research on social categorization has emphasized the role of feature-based categories such as race and gender, showing that people rely on such categories when perceiving and remembering others. We tested the hypothesis that social perception may depend on a new type of category--what we call "goal instrumentality," or the extent to which others are useful for an active goal. We demonstrate that people make more memory errors within the categories of "instrumental" and "noninstrumental," and fewer between-category errors, when a goal has been subtly activated. We also demonstrate that people perceive others within the categories of "instrumental" and "noninstrumental" to be more similar, and others from the two different categories to be less similar, following subliminal goal activation. We discuss implications for the understanding of social categorization and the influence of goals on social cognition.
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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 | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| 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".