MétaCan
Menu
Back to cohort
Record W3125512907

Building Better Budgets: Canada’s Cities Should Clean Up their Financial Reporting

2015· article· en· W3125512907 on OpenAlexaboutno aff
Ben Dachis, William B. P. Robson

Bibliographic record

VenueC.D. Howe Institute Commentary · 2015
Typearticle
Languageen
FieldSocial Sciences
TopicCanadian Policy and Governance
Canadian institutionsnot available
Fundersnot available
KeywordsTaxpayerRevenueFinanceBusinessOperating budgetFederal budgetEconomicsFiscal year
DOInot available

Abstract

fetched live from OpenAlex

In nearly all Canada’s major cities, what should be a simple exercise – comparing the spending voted by city council in its annual budget with the actual spending reported at year-end – will baffle any but the most expert reader. While most of Canada’s federal and provincial governments now present their budgets on the same basis as their financial reports, municipal governments typically do not. As a result, judging whether a city over- or under-shot its budget targets, and by how much – which should be a simple matter of comparing headline numbers – is not possible for a typical councillor, taxpayer or citizen. The critical common element is that most cities use an antiquated form of budgeting. Most of Canada’s senior governments, when preparing budgets and end-of-year reports, use modern accounting methods that record the cost of long-lived assets such as buildings and infrastructure as those assets deliver their services. Municipal budgets, by contrast, budget capital on a cash basis, exaggerating projects’ up-front costs and understating them later on expenses. Largely for this reason, no major city in Canada offers a clear budget presentation, and none earns an “A” in our report card on budgeting practices. Among the cities that earn the worst grades for baffling budget presentations are Edmonton, Winnipeg, Windsor, Toronto, Vaughan and Ontario’s Durham Region. This study also shows how a reasonably intelligent but time-constrained non-expert user – a councillor or taxpayer – might understand the differences between budgeted and actual spending in Canada’s major cities. The gaps are enormous – and indicate that opaque budgeting is a major obstacle to fiscal accountability at the municipal level. Importantly, these cities’ end-of-year financial reports, which use accounting similar to that used by senior governments, show a cumulative surplus of $41 billion since 2008. Their total surplus was $6 billion in 2014 alone. This record suggests that cash budgeting has led cities to over-charge today’s taxpayers for long-lived capital projects. In Ontario, Vaughan, Halton Region, and Markham stand out in this respect; among major Western Canadian cities, Calgary, Saskatoon and Surrey, B.C. also appear not to be spreading the costs of capital over time as fairly as they could. Changes in provincial legislation could foster better municipal budgeting, but cities also have the capacity to present more meaningful numbers on their own. Having comparable accounting standards among all levels of government is critical to understanding the relative fiscal health of each level – especially important if provinces look to give cities new tax powers or direct financial supports. Both provinces and municipalities should take steps to improve the fiscal accountability of municipalities and the stewardship of municipal funds.

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)0.028
metaresearch head score (Gemma)0.087
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: Commentary
Teacher disagreement score0.876
Threshold uncertainty score0.899

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0280.087
Meta-epidemiology (narrow)0.0020.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0070.011
Science and technology studies0.0190.009
Scholarly communication0.0310.018
Open science0.0050.008
Research integrity0.0060.013
Insufficient payload (model declined to judge)0.0240.006

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 head0.093
GPT teacher head0.320
Teacher spread0.227 · 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".

Quick stats

Citations3
Published2015
Admission routes1
Has abstractyes

Explore more

Same venueC.D. Howe Institute CommentarySame topicCanadian Policy and GovernanceFrench-language works237,207