Breaking the path of institutional development? Alternatives to the new determinism
Bibliographic record
Abstract
'The concept of path dependence is being used in highly deterministic ways in neo-institutionalist analysis, so that studies using this framework have difficulty in accounting for, or predicting, change. However, the original Polya urn model from which path dependence theory draws predicts that alternative paths will be possible. It can be argued that actors will be able to use these when they perceive a need to change. This article seeks to capture this possibility through accommodating a Bayesian parametric decision maker, interacting with an environment. This makes it possible to examine how change may involve such processes as: the use of past or redundant institutional repertoires; transfer of experience across action spaces; or from other agents, through networks of structured relationships; the emergence of perceived 'one best' solutions. This approach points to the need to change how typologies are used in neo-institutionalist research, so that those features of cases which do not fit the pre-conceived framework of a type are not disregarded as 'noise', but properly evaluated as potential resources for change.' (author's abstract)
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.
How this classification was reachedexpand
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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 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 teacher head, 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".