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Record W3123065922

Show Us the Numbers: Grading the Financial Reports of Canada’s Municipalities

2018· article· en· W3123065922 on OpenAlexaboutno aff
William B. P. Robson, Farah Omran

Bibliographic record

VenueC.D. Howe Institute Commentary · 2018
Typearticle
Languageen
FieldSocial Sciences
TopicCanadian Policy and Governance
Canadian institutionsnot available
Fundersnot available
KeywordsRevenueFinanceAccrualFiscal yearBusinessReport cardPublicationPensionGovernmental accountingCashAccountingFund accountingFinancial accountingAccounting information systemEarningsAdvertising
DOInot available

Abstract

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In nearly all larger Canadian municipalities, obscure financial reports – notably, inconsistent presentations of key numbers in budgets and end-of-year financial statements – hamper councillors, ratepayers and voters who seek to hold their municipal governments to account. Simple information, such as how much the municipality plans to spend this year or how its spending plan this year compares with the previous year’s, is hard or impossible for a non-expert citizen or councillor to find. The differences between how the numbers appear in budgets and in financial results have real-world consequences. For example, by presenting net, rather than gross, budget figures, municipalities exclude key services such as water and the fees that fund them, obscuring key activities and understating both their revenue and expense. By using cash, rather than accrual, accounting, they exaggerate infrastructure investment costs, hide the cost of pension obligations, and make it hard to match the costs and benefits of their activities. Moreover, many municipalities approve their budgets after significant money has already been committed or spent in the fiscal year, fail to publish their fiscal year-end financial results in a timely way and bury key numbers deep in their documents. This report card grades the financial presentations of major Canadian municipalities in their most recent budgets and financial statements. Of those we assessed, Toronto, Durham Region, Kitchener, Quebec City, Longueuil and Montreal failed, providing little information in reader-friendly form. More happily, Surrey garners an A+ for clarity and completeness of its financial presentation, York Region is a close second with an A, while Vancouver and Markham are also good performers. We have two key recommendations. First, municipal governments should present their annual budgets on the same accounting basis as their year-end financial statements. Their budgets should use accrual accounting, recording revenues and expenses as the relevant activities occur. For their part, provincial governments that impede the use of accrual-based budgets – by mandating that cities present separate operating and capital budgets, for example – should stop doing so. Indeed, provinces should mandate cities to present accrual budgets so the fiscal pictures of municipalities and the province use the same transparent standard. Even in cases where a province is an impediment, municipalities could release the relevant information on their own – and they should. Second, budgets, like financial statements, should show city-wide consolidated, gross revenue and spending figures that represent the city’s full claim on its citizens’ resources and the full scope of its activities. These changes would help raise the financial management of Canada’s municipalities to a level more commensurate with their importance in Canadians’ lives.

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 machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.008
metaresearch head score (Gemma)0.056
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Commentary · Consensus signal: none
Teacher disagreement score0.057
Threshold uncertainty score0.414

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0080.056
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0190.018
Science and technology studies0.0080.002
Scholarly communication0.0110.003
Open science0.0020.003
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0190.006

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 head0.025
GPT teacher head0.276
Teacher spread0.251 · 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 source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designNot applicable
Domainnot available
GenreCommentary

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".

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Citations0
Published2018
Admission routes1
Has abstractyes

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