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Record W2547471147 · doi:10.3138/cpp.2015-079

Governance by Handshake? Assessing Informal Municipal Service Sharing Relationships

2016· article· en· W2547471147 on OpenAlex
Zachary Spicer

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.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.
venuePublished in a venue whose home country is Canada.

Bibliographic record

VenueCanadian Public Policy · 2016
Typearticle
Languageen
FieldBusiness, Management and Accounting
TopicSharing Economy and Platforms
Canadian institutionsBrock University
Fundersnot available
KeywordsFlexibility (engineering)HandshakeCorporate governanceBusinessService (business)Work (physics)Construct (python library)Public relationsPolitical scienceEconomicsFinanceMarketingComputer scienceManagementEngineering

Abstract

fetched live from OpenAlex

This article examines the development and governance of informal, unwritten intermunicipal service-, facilities-, and equipment-sharing agreements. Although these agreements are easier to construct than formal agreements, they lack legal protection. The results show that municipalities are using informal shared services arrangements much less frequently than in the past. Those that have an informal agreement in place note that they are attractive because of the relative flexibility it allows, but they are wary of the inherent risk of entering into an arrangement without legal recourse. These informal arrangements, however, work well in areas in which there is a history of long-term cooperation, a high degree of trust, and some type of forum for resolution. The use of these informal arrangements, however, has been waning for years because most municipalities push for formalized agreements in an effort to insulate themselves, when possible, from the inherent risks of informal cooperation.

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)0.000
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesScholarly communication, Insufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.877
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0010.000
Scholarly communication0.0020.011
Open science0.0010.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.001

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 head0.046
GPT teacher head0.232
Teacher spread0.186 · 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