Is implementation distinct from political bargaining? : a micro-level test

Two approaches to research on policy implementation are compared in this article. In the first approach, corresponding with the multi-stage view, implementation is understood as a sub-process requiring specific tools of analysis such as principal-agent theory. In the other approach, which we label the political bargaining view, implementation is seen as an integral part of the policy debate that occurs when political decisions are taken. Using data on the implementation of decisions taken in three Dutch local authorities, we show how the different views can be tested using models. We compare the predictions of agency performances made by bargaining models with those made by implementation models. The results show that the models of political bargaining produce significantly less accurate predictions of agency performances than the implementation models, suggesting that implementation is best understood as a distinct stage of the policy process

Assessing Instrument Mixes through Program- and Agency-Level Data: Methodological Issues in Contemporary Implementation Research

Theories of policy instrument choice have gone through several "generations" as theorists have moved from the analysis of individual instruments to comparative studies of instrument selection and the development of theories of instrument choice within implementation "mixes" or "governance strategies." Current "next generation" theory on policy instruments centers on the question of the optimality of instrument choices. However, empirically assessing the nature of instrument mixes is quite a complex affair, involving considerable methodological difficulties and conceptual ambiguities related to the definition and measurement of policy sector and instruments and their interrelationships. Using materials generated by Canadian governments, this article examines the practical utility and drawbacks of three techniques used in the literature to inventory instruments and identify instrument ecologies and mixes: the conventional "policy domain" approach suggested by Burstein (1991); the "program" approach developed by Rose (1988a); and the "legislative" approach used by Hosseus and Pal (1997). This article suggests that all three approaches must be used in order to develop even a modest inventory of policy instruments, but that additional problems exist with availability and accessibility of data, both in general and in terms of reconciling materials developed using these different approaches, which makes the analysis of instrument mixes a time-consuming and expensive affair. Copyright 2006 by The Policy Studies Organization.

Large expert-curated database for benchmarking document similarity detection in biomedical literature search

Document recommendation systems for locating relevant literature have mostly relied on methods developed a decade ago. This is largely due to the lack of a large offline gold-standard benchmark of relevant documents that cover a variety of research fields such that newly developed literature search techniques can be compared, improved and translated into practice. To overcome this bottleneck, we have established the RElevant LIterature SearcH consortium consisting of more than 1500 scientists from 84 countries, who have collectively annotated the relevance of over 180 000 PubMed-listed articles with regard to their respective seed (input) article/s. The majority of annotations were contributed by highly experienced, original authors of the seed articles. The collected data cover 76% of all unique PubMed Medical Subject Headings descriptors. No systematic biases were observed across different experience levels, research fields or time spent on annotations. More importantly, annotations of the same document pairs contributed by different scientists were highly concordant. We further show that the three representative baseline methods used to generate recommended articles for evaluation (Okapi Best Matching 25, Term Frequency-Inverse Document Frequency and PubMed Related Articles) had similar overall performances. Additionally, we found that these methods each tend to produce distinct collections of recommended articles, suggesting that a hybrid method may be required to completely capture all relevant articles. The established database server located at https://relishdb.ict.griffith.edu.au is freely available for the downloading of annotation data and the blind testing of new methods. We expect that this benchmark will be useful for stimulating the development of new powerful techniques for title and title/abstract-based search engines for relevant articles in biomedical science. © The Author(s) 2019. Published by Oxford University Press