Bibliographic record
Abstract
The recent behavioral turn among economic, administrative and other scholars has resulted in a new way of thinking about policy sciences which emphasizes behavioural insights and the need for greater research into this facet of policy-making. While most early researchers had aspired to the hallmarks of social science, with theoretical modelling on the assumption of microeconomic utility, many now have come to accept that this kind of rationality may be in short supply in practice and that more study of norms, irrationalities and collective action is required. This new focus has led to a behavioural turn in policy theory and practice. Policy design, in particular, now addresses a much wider range of policy tools and is no longer as circumscribed by a priori adherence to utilitarian assumptions about policy behavior as it was in the past. At the same time however, this turn presents new challenges including the irreducibility of incentives for behavior to a single utilitarian currency. We argue that the policy sciences still need a more serious consideration of non-economic incentives, if they are to move away from the traditional utilitarianism which has coloured findings in the discipline for decades.
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 | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.003 |
| Open science | 0.000 | 0.000 |
| 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 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".