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The impacts of amalgamation on police services in the Halifax Regional Municipality

2002· article· en· W2053978122 on OpenAlexaboutno aff
James C. McDavid

Bibliographic record

VenueCanadian Public Administration · 2002
Typearticle
Languageen
FieldSocial Sciences
TopicPublic Policy and Administration Research
Canadian institutionsnot available
Fundersnot available
KeywordsLiberian dollarService (business)Government (linguistics)Political sciencePublic administrationBusinessGeographyFinanceMarketing

Abstract

fetched live from OpenAlex

Abstract: On 1 April 1996, the Nova Scotia government amalgamated the Town of Bedford, the cities of Dartmouth and Halifax and Halifax County to create the Halifax Regional Municipality. The Halifax amalgamation is one in a series of such mergers that have happened recently in Ontario, Quebec and the Atlantic Provinces. This study compares the costs, resources, service levels, crime rates, workloads and citizen perceptions of police services before and after amalgamation. The findings suggest that, overall, amalgamation of police services in the Halifax region is associated with higher costs (in real‐dollar terms), lower numbers of sworn officers, lower service levels, no real change in crime rates, and higher workloads for sworn officers. The findings from three citizen surveys that compare perceptions before and after amalgamation indicate that when the comparisons are focused on persons who actually called the police in 1997 and 1999, nearly thirty‐two per cent of those surveyed in 1997 felt that police services had gotten worse since amalgamation, and nearly twenty‐five per cent felt the same way in 1999. In 1995, thirty‐nine per cent of survey respondents expected services to get worse with amalgamation. Claims about the efficiency and cost‐effectiveness of amalgamations have tended to rest on evidence that is generally inadequate to assess the actual consequences of this kind of organizational change. The current study suggests that when predictions are tested, there is a considerable gap between the rhetoric and what actually happens when police departments are amalgamated in an urban setting. Sommaire: Le l st avril 1996, le gouvernement de la Nouvelle‐Écosse a procédé au regroupement des villes de Bedford, Dartmouth et Halifax et du comté de Halifax pour créer la municipalité régionale de Halifax. Ce regroupement de Halifax fait par‐tie d'une série de fusions similaires qui se sont produites récemment en Ontario, au Québec et dans les provinces de I'Atlantique. La présente etude compare les coûts, les ressources, les niveaux de services, les taux de criminalité, les charges de travail et la perception qu'ont les citoyens envers les services de police avant et après le regroupement. D'après nos conclusions, le regroupement dcs services de police dans la région de Halifax est d'une manière générale associéà des coûts plus élevés (en termes de dollars indexés), à un nombre réduit d'agents de police assermentés, à des niveaux de service inférieurs, à des taux de criminalité essentiellement inchangés, et à des charges de travail plus élevées pour les agents de police assermentés. Les conclusions de trois enquêtes menées auprès des citoyens comparant leurs impressions avant et après le regroupement indiquent que, dans le cas des personnes ayant fait appel à la police en 1997 et 1999, près de 32 % des personnes interrogées en 1997 esti‐maient que les services de police s'étaient dégradés depuis le regroupement et près de 25 % exprimaient la méme opinion en 1999. En 1995, 39 % des personnes ayant répondu à l'enquête s'attendaient à ce que les services se dégradent avec le regroupement. Ceux qui mentionnaient I'efficience et le rapport coût‐efficacité des regroupe‐ments avaient tendance à se fier à des preuves généralement inadéquates pour évaluer les conséquences réelles de ce genre de changement organisationnel. Notre étude laisse entendre que lorsque les predictions sont mises à I'épreuve, on constate l'existence d'un important fossé entre la rhétorique et la réalité lorsque les services de police sont regroupés dans un milieu urbain.

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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)0.002
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.979
Threshold uncertainty score0.846

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0010.000
Scholarly communication0.0000.000
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 head0.097
GPT teacher head0.372
Teacher spread0.275 · 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 designTheoretical or conceptual
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

Citations18
Published2002
Admission routes1
Has abstractyes

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