Mental Representation of Familiar Others: The Impact of Occupation, Sex, and Race
Bibliographic record
Abstract
The current study used a double primed semantic decision task to investigate the role of social group information in mental representations of familiar others. Extrapolating from social role theory, we predicted that social role information would facilitate responding to familiar targets regardless of the specific task at hand. The names of celebrities were used as stimuli, as people know them because of their social role (i.e., their occupation). Primes and targets were matched (or mismatched) on all combinations of sex, race, and occupation. Participants were randomly assigned to task condition: indicating whether the prime and target were (a) of the same sex or not, (b) of the same race or not, or (c) of the same occupation or not. Results indicated that participants responded faster to celebrity prime-target pairs that were matched on occupation regardless of task condition. In addition, participants responded faster to celebrity prime-target pairs that were matched on sex—but only when sex was relevant to the task. Similar findings were not found for race. The implications of these findings for understanding mental representations of familiar others and for person perception are discussed.
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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 | 0.009 |
| 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 | 0.002 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.004 | 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".