Above a Swamp: A Theory of High-Quality Scientific Production
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
We elaborate a model of the incentives of scientists to perform activities of control and criticism when these activities, just like the production of novel findings, are costly, and we study the strategic interaction between these incentives. We then use the model to assess policies meant to enhance the reliability of scientific knowledge. We show that a certain fraction of low-quality science characterizes all the equilibria in the basic model. In fact, the absence of detected lowquality research can be interpreted as the lack of verification activities and thus as a potential limitation to the reliability of a field. Incentivizing incremental research and verification activities improves the expected quality of research; this effect, however, is contrasted by the incentives to free ride on performing verification if many scientists are involved, and may discourage scientists to undertake new research in the first place. Finally, softening incentives to publish does not enhance quality, although it increases the fraction of detected low-quality papers. We also advance empirical predictions and discuss the insights for firms and investors as they "scout" the scientific landscape.
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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 | 0.046 | 0.005 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.002 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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 it