Bibliographic record
Abstract
While several studies have explored the interactional dynamics of charismatic power, most have neglected the role of what Weber termed the charismatic aristocracy. This article revives the classical concept to respond to contemporary calls for performative, followercentric approaches to charisma. Specifically, the charismatic aristocracy is placed at the center of an analysis of a reiterative moment in charismatization: when influential followers generate content for the emerging charismatic persona. In these germinal moments, the dialogical nature of charisma is most clear, precisely because it is then that charismatic leaders often are not themselves confident in their status and can be found responding to instructional cues—indeed following the lead—of those positioning themselves as obsequious followers. Drawing on 10 years of observations, multistage interviews, and media collections, I provide an interactionist account of the charismatic emergence of John de Ruiter, leader of a successful new religious movement. I conclude by tabling a model that conceives of the charismatic aristocracy as an important fulcrum for expectation, affectation, and recognition in charismatic interactions.
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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 | 0.005 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.003 | 0.002 |
| Science and technology studies | 0.006 | 0.039 |
| Scholarly communication | 0.005 | 0.009 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.002 | 0.003 |
| 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".