Compensatory Control
Bibliographic record
Abstract
We propose that people protect the belief in a controlled, nonrandom world by imbuing their social, physical, and metaphysical environments with order and structure when their sense of personal control is threatened. We demonstrate that when personal control is threatened, people can preserve a sense of order by (a) perceiving patterns in noise or adhering to superstitions and conspiracies, (b) defending the legitimacy of the sociopolitical institutions that offer control, or (c) believing in an interventionist God. We also present evidence that these processes of compensatory control help people cope with the anxiety and discomfort that lacking personal control fuels, that it is lack of personal control specifically and not general threat or negativity that drives these processes, and that these various forms of compensatory control are ultimately substitutable for one another. Our model of compensatory control offers insight into a wide variety of phenomena, from prejudice to the idiosyncratic rituals of professional athletes to societal rituals around weddings, graduations, and funerals.
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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 | 0.003 | 0.011 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.005 |
| Scholarly communication | 0.003 | 0.002 |
| Open science | 0.002 | 0.002 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.008 | 0.001 |
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".