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 provide a definition of institutionalism and a schematic account that differentiates between institutional theories (in which institutions are exogenous) and theories of institutions, in which some (but not necessarily all) institutions are endogenous. Our primary argument is that institutionalism in the contemporary context is better characterized as a method than as a body of substantive work motivated by the so-called chaos problem. Secondary arguments include the following. (1) While it is important to differentiate sharply between institutions and behavior, institutionalism presupposes a well-defined behavioral concept. (2) When making the challenging transition from developing institutional theories to developing theories of institutions, it is essential to hold behavioral axioms fixed and to choose a form of equilibrium that exists for the class of games studied. (3) For most research programs today, a form of Nash equilibrium has the requisite properties while the core, and structure-induced equilibria (SIE) that rely on the core, often lack the requisite properties.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.002 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 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) | 0.003 | 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 it