| 000 -LEADER |
|---|
| fixed length control field |
01690nam a22001577a 4500 |
| 008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION |
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| fixed length control field |
230209b ||||| |||| 00| 0 eng d |
| 100 ## - MAIN ENTRY--PERSONAL NAME |
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| Personal name |
Rice, Douglas et al |
| 245 ## - TITLE STATEMENT |
|---|
| Title |
Machine coding of policy texts with the institutional grammar |
| 260 ## - PUBLICATION, DISTRIBUTION, ETC. (IMPRINT) |
|---|
| Place of publication, distribution, etc |
Public Administration: An International Quarterly |
| 300 ## - PHYSICAL DESCRIPTION |
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| Extent |
99(2), June, 2021: p.248-262 |
| 520 ## - SUMMARY, ETC. |
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| Summary, etc |
The Institutional Grammar (IG) is used to analyse the syntactic structure of statements constituting institutions (e.g., policies, regulations, and norms) that indicate behavioural constraints and parameterize features of institutionally governed domains. Policy and administration scholars have made considerable progress in methodologically developing the IG, offering increasingly clear guidelines for IG-based coding, identifying unique considerations for applying the IG to different types of institutions, and expanding its syntactic scope. However, while validated as a robust institutional analysis approach, the resource and time commitment associated with its application has precipitated concerns over whether the IG might ever enjoy widespread use. Needed now in the methodological development of the IG are reliable and accessible (i.e., open source) approaches that reduce the costs associated with its application. We propose an automated approach leveraging computational text analysis and natural language processing. We then present results from an evaluation in the context of food system regulations. – Reproduced |
| 650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM |
|---|
| Topical term or geographic name as entry element |
Institutional Grammar (IG), IG-based coding |
| 9 (RLIN) |
37251 |
| 773 ## - HOST ITEM ENTRY |
|---|
| Main entry heading |
Public Administration: An International Quarterly |
| 906 ## - LOCAL DATA ELEMENT F, LDF (RLIN) |
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| Subject DIP |
PUBLIC ADMINISTRATION |
| 942 ## - ADDED ENTRY ELEMENTS (KOHA) |
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| Item type |
Articles |
