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Record W1506564125

Institutionalization of Business Improvement Districts: A Longitudinal Study of the State Laws in the United States

2013· article· en· W1506564125 on OpenAlex
Göktuğ Morçöl, Douglas Gautsch

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

aboutThe title or abstract carries a Canadian signal from the geographic lexicon.
no affNo Canadian affiliation: this work is invisible to an affiliation-only frame.
No Canadian affiliation. An affiliation-only frame, the usual design, would never have seen this work. It is one of the works that make the case for inverting the frame.

Bibliographic record

VenuePublic Administration Quarterly · 2013
Typearticle
Languageen
FieldSocial Sciences
TopicPublic Policy and Administration Research
Canadian institutionsnot available
Fundersnot available
KeywordsInstitutionalisationAccountabilityState (computer science)Public administrationDemocracyPolitical scienceGovernment (linguistics)Economic JusticeLocal governmentLawPolitics
DOInot available

Abstract

fetched live from OpenAlex

ABSTRACTThe institutionalization of business districts (BIDs) is investigated with analyses of the state enabling laws in the United States. The results indicate that no distinct institutional BID form has emerged yet, but there is a process of institutionalization. This process can be observed in the names used for BIDs in the laws, their governing models and the methods of determining their board membership. The name improvement district has been used with an increasing frequency in the laws. Of the three BID governing models-subunits of local governments, autonomous public authorities, and nonprofit corporations-the last has been adopted more frequently in recent decades. The governing bodies of BIDs may be appointed or elected, but the elected board model was adopted more frequently in recent decades.Keywords: business districts; special districts; institutionalizationAcknowledgementWe gratefully acknowledge Dr. Carol Becker's contribution to this study by sharing with us the detailed results of the BID survey she and her colleagues had conducted in 2010.Business districts (BIDs) have been established in all states of the United States, most provinces of Canada, a few countries in Europe (United Kingdom, Ireland, Germany, and the Netherlands), and South Africa and a considerable size of BID literature has been built in recent decades. BID researchers investigated their implications for democratic participation and accountability (Barr, 1997; Briffault, 1999; Hochleutner, 2008; Justice & Skelcher, 2009), BID-local government relations (Morcol & Zimmermann, 2008; Wolf, 2008), and their successes and failures in helping solve urban problems (Hoyt, 2005; Ellen, Schwartz & Voicu, 2007; Cook & MacDonald, 2011).After two decades of research, there still is a need to formulate a common conceptualization of BIDs, however. An important problem is whether BIDs should be conceptualized as a distinct form of local government or a mixture of different institutional forms. There are two sets of conceptual issues within this problem. First, is there a single and coherent BID institutional form? Justice and Skelcher (2009) argue that it is possible to identify an ideal typical BID institutional form, despite the considerable functional and institutional diversity among the BIDs in the different states of the United States and other countries (p. 740). Second, are BIDs distinguishable from other forms of special districts? This is an important question, because BIDs are often defined in terms of their similarities with and differences from special districts (e.g., Kennedy, 1996; Briffault, 1999). To answer these questions, we analyzed the definitions and descriptions of BIDs in the enabling laws of the 50 states of the United States, Washington DC, and Puerto Rico.This comprehensive study of the state laws is needed because the conceptualizations of BIDs in the current literature are based on limited empirical investigations and legal analyses. Mitchell's (1999) nationwide survey in the United States in the later 1990s identified BIDs in 42 states and Washington, DC. Becker and her colleagues' survey in 2010 identified BIDs in 48 states-the only exceptions being North Dakota and Wyoming-and Washington DC (Becker, 2010; Becker, Grossman, & Dos Santos, 2011). However, the empirical and legal studies typically focus on few selected cases and/or few state laws. This narrow focus in the studies does not constitute a sufficient basis for a comprehensive conceptualization of BIDs.The empirical BID studies have focused primarily on six states and Washington, DC: California (Brooks, 2006, 2007; Cook & MacDonald, 2011; Lloyd, McCarthy, McGreal & Berry, 2003; MacDonald, Stokes & Bluthenthal, 2010; Meek & Hubler, 2008; Stokes, 2008), Pennsylvania (Hoyt, 2005; Stokes, 2006; Morcol & Patrick, 2008; Dilworth, 2010)1, New York (Ellen, Schwartz & Voicu, 2007; Gross, 2008; Meltzer, 2011), Maryland (Baer, 2008; Baer & Feiock, 2005; Baer & Marando, 2001), New Jersey (Justice & Goldsmith, 2008; Ruffin, 2010), Georgia (Ewoh & Zimmermann, 2010; Morcol & Zimmermann, 2008), and Washington, DC (Mallet, 1993; Schaller & Modan, 2005; Wolf, 2006). …

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.

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 score0.708
Threshold uncertainty score0.997

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.002
Science and technology studies0.0000.000
Scholarly communication0.0000.001
Open science0.0010.000
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 head0.062
GPT teacher head0.355
Teacher spread0.292 · 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