Two Ways to Stay at the Top: Prestige and Dominance Are Both Viable Strategies for Gaining and Maintaining Social Rank Over Time
Bibliographic record
Abstract
The dual-strategies theory of social rank proposes that both dominance and prestige are effective strategies for gaining social rank (i.e., the capacity for influence) in groups. However, the only existing longitudinal investigation of these strategies suggests that, among undergraduate students, only prestige allows people to maintain social rank over time. The current study provides a longitudinal test of dominance and prestige in a context where dominance is more normative: MBA project groups. Among 548 MBA students in 104 groups, peer-rated dominance and prestige predicted gains in social rank over the course of 4 weeks, indicating that both strategies may help people not only gain social rank but also maintain it over time. Furthermore, prestige-but not dominance-led to social rank because of willingly given deference from group members. This confirms a central but thus-far-untested principle of dual-strategies theory: While prestige is based on freely conferred deference, dominance is not.
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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 | 0.000 |
| Science and technology studies | 0.003 | 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) | 0.001 | 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 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".