Monastic Governance: Forgotten Prospects for Public Institutions
Bibliographic record
Abstract
To overcome agency problems, public sector reforms started to introduce businesslike incentive structures to motivate public officials. By neglecting internal behavioral incentives, however, these reforms often do not reach their stated goals. This research analyzes the governance structure of Benedictine monasteries to gain new insights into solving agency problems in public institutions. A comparison is useful because members of both organizational forms, public organizations and monasteries, see themselves as responsible participants in their community and claim to serve the public good. This research studies monastic governance from an economic perspective. Benedictine monasteries in Baden-Württemberg, Bavaria, and German-speaking Switzerland have an average lifetime of almost 500 years, and only a quarter of them broke up because of agency problems. The authors argue that they were able to survive for centuries because of an appropriate governance structure, relying strongly on the intrinsic motivation of the members and internal control mechanisms. This governance approach differs in several aspects from current public sector reforms.
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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 | 0.011 | 0.010 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.003 | 0.020 |
| Scholarly communication | 0.008 | 0.011 |
| Open science | 0.001 | 0.005 |
| Research integrity | 0.003 | 0.003 |
| Insufficient payload (model declined to judge) | 0.005 | 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".