The DOI matches its Crossref record; 107 of the 107 references it cites were found in a registry or an index.
Systematising Policy Learning: From Monolith to Dimensions
Open accessAbstract
The field of policy learning is characterised by concept stretching and a lack of systematic findings. To systematise them, we combine the classic Sartorian approach to classification with the more recent insights on explanatory typologies, distinguishing between the genus and the different species within it. By drawing on the technique of explanatory typologies to introduce a basic model of policy learning, we identify four major genera in the literature. We then generate variation within each cell by using rigorous concepts drawn from adult education research. By looking at learning through the lenses of knowledge utilisation, we show that the basic model can be expanded to reveal sixteen different species. These types are all conceptually possible, but are not all empirically established in the literature. Our reconstruction of the field sheds light on mechanisms and relations associated with alternative operationalisations of learning and the role of actors in the process of knowledge construction and utilisation. By providing a comprehensive typology, we mitigate concept-stretching problems and lay the foundations for the systematic comparison across and within cases of policy learning.
Overview
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Citations
Cites
DiMaggio, P. J., & Powell, W. W. (1983) · American Sociological Review · doi:10.2307/2095101 · Cited by 38,435
Situated Learning: Legitimate Peripheral Participation
Lave, J., & Wenger, E. (1991) · Cambridge University Press eBooks · doi:10.1017/cbo9780511815355 · Cited by 35,324
DiMaggio, P. J., & Powell, W. W. (2004) · Advances in Strategic Management · doi:10.1016/s0742-3322(00)17011-1 · Cited by 25,802
Organizational Learning: A Theory of Action Perspective
Argyris, C., & Schön, D. A. (1997) · Reis · doi:10.2307/40183951 · Cited by 11,113
(2005) · Cited by 9,479
DiMaggio, P. (1983) · American Sociological Review · Cited by 9,078
The Science of “Muddling Through”
Lindblom, C. E. (1959) · Public Administration Review · doi:10.2307/973677 · Cited by 8,513
Introduction: epistemic communities and international policy coordination
Haas, P. M. (1992) · International Organization · doi:10.1017/s0020818300001442 · Cited by 7,584
Policy paradigms, social learning, and the state: The case of economic policymaking in Britain
Hall, P. A. (1993) · Comparative Politics · doi:10.2307/422246 · Cited by 7,369
Cognitive maps in rats and men
Tolman, E. C. (1948) · Psychological Review · doi:10.1037/h0061626 · Cited by 6,641
Cited by
Policy learning and policy change: theorizing their relations from different perspectives
Moyson, S., Scholten, P., & Weible, C. M. (2017) · Policy and Society · doi:10.1080/14494035.2017.1331879 · Cited by 313
The Circular Economy in European Union Policy: Explaining an idea's success through policy learning
Pinyol Alberich, J., & Hartley, S. (2024) · Environmental Policy and Governance · doi:10.1002/eet.2088 · Cited by 13
Median Problem Pressure and Policy Learning: An Exploratory Analysis of European Countries
Trein, P. (2018) · International Series on Public Policy · doi:10.1007/978-3-319-76210-4_11 · Cited by 7
Learning from Practical Experience: Implementation Epistemic Communities in the European Union
Polman, D. (2018) · International Series on Public Policy · doi:10.1007/978-3-319-76210-4_6 · Cited by 7
Revisiting lesson-drawing: methods to assess policy’s institutional transferability
Yamada, M. (2026) · Policy Design and Practice · doi:10.1080/25741292.2025.2574112 · Cited by 1
“See Dunlop and Radaelli (2013) for its mapping.”
Metadata
- Authors
- Dunlop, C. A., & Radaelli, C. M.
- Venue
- Political Studies
- Publisher
- SAGE Publications
- Published
- 2012-09-28
- Volume
- 61
- Issue
- 3
- Pages
- 599-619
- ISSN
- 0032-3217 (ISSN-L)
- 1467-9248
- OpenAlex
- W1914904200
- Cited by
- 572
- References
- 107
- FWCI
- 79.38
- Type
- journal article
- Language
- en
- Open access
- green
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review
How to cite
Cite CoChat for the checks on this page, and the paper for its own findings.
- This page
- CoChat. (2026). Citation check: Systematising Policy Learning: From Monolith to Dimensions. https://app.cochat.ai/papers/10.1111/j.1467-9248.2012.00982.x
- The paper
- Dunlop, C. A., & Radaelli, C. M. (2013). Systematising Policy Learning: From Monolith to Dimensions. Political Studies. https://doi.org/10.1111/j.1467-9248.2012.00982.x
Data sources
Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.