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Record W2309002673 · doi:10.14288/1.0095907

Implementation of public policy : a case study

2010· article· en· W2309002673 on OpenAlexaboutno aff
Gordon Ross Shanks

Bibliographic record

VenuecIRcle (University of British Columbia) · 2010
Typearticle
Languageen
FieldSocial Sciences
TopicPolicy Transfer and Learning
Canadian institutionsnot available
Fundersnot available
KeywordsPublic policyBusinessPolitical scienceComputer sciencePublic administrationEconomicsEconomic growth

Abstract

fetched live from OpenAlex

Students of public policy have, until recently, centred their attention on the process by which policies are formulated, based on the implicit assumption that a well-formulated policy will be faithfully implemented. Disillusionment with policy outcomes in many areas has led to a concern for understanding the factors which influence the implementation of policy. As a first step, this study develops a theoretical role for an identifiable implementation process within a larger public policy process. The study develops two related models. The first identifies four structural components in the implementation process: policy output, initiation of implementation, implementation action and information feedback. The second model hypothesizes the important elements which characterize an implementation process and influence the movement from a policy output to a policy outcome. Eight elements are identified: implementing actors, policy objectives, resources, interested actors, policy environment, incentives and sanctions, stakes, and rules. The hypothesized linkages among the elements are described. Based upon these two models, the determinants bf policy outcome are posited. In addition to the eight process elements, these include: technical tractability of problem, policy environment, decision-making environment, and uncertainties. The theoretical framework is applied to a case study bf the Canada-British Columbia Okanagan Basin Implementation Agreement (OBIA). The stages leading up to implementation of the recommendations bf an earlier framework planning study are described. The initiation of implementation culminated in the signing of a joint federal-provincial Implementation Agreement which responded to the recommendations of the plan but re-interpreted many bf these. The analysis demonstrates the importance of a pre-implementation phase wherein policy objectives and intentions are re-examined, interpreted, and operationalized prior to implementation action. Action under the OBIA is described and analysed for four specific cases concerning water quality, water quantity, international aspects, and public participation. The empirical conclusions indicate the technical aspects of the OBIA have been implemented according to the obligations of the Agreement. Departures from the Agreement were based on careful technical analysis. Implementation was viewed by the implementers as a technical, mechanistic process with little regard to social value uncertainties. The study provides an examination of the utility of the theoretical models. It concludes that the hypothesized variables can describe the functioning of an implementation process and provide a comprehensive analytical picture. The highlights of the conclusions are: the jurisdictional breakdown between the federal and provincial governments as interpreted by and reflected in the objectives of the key implementing actors was very significant in shaping the outcome. The specificity of the policy output in terms of intentions and articulation of uncertainties had an impact as did the rigidity of the implementation mechanism. Resource constraints were a significant determinant of outcome, supporting a proposition that resource availability be carefully analysed in a pre-implementation phase. Interested actors had an influence in proportion to the degree of direct impact implementation measures had upon specific interests. Uncertainties in technical and quantitative areas appear to have been well managed, whereas value uncertainties were generally not considered. The study evidence suggests if an implementation process is inflexible and cannot adapt to changing social circumstances by embracing uncertainties, it will become irrelevant, and the current issues will be considered outside of the implementation process.

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 imitation

Not 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.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.658
Threshold uncertainty score0.416

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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.

Opus teacher head0.023
GPT teacher head0.288
Teacher spread0.265 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
Domainnot available
GenreEmpirical

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".

Quick stats

Citations0
Published2010
Admission routes1
Has abstractyes

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