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Record W3164747913

It Takes Three: Making Space for Cities in Canadian Federalism

2020· other· en· W3164747913 on OpenAlexaffabout

Bibliographic record

VenueTSpace (University of Toronto) · 2020
Typeother
Languageen
FieldSocial Sciences
TopicPolitical Systems and Governance
Canadian institutionsUniversity of Toronto
Fundersnot available
KeywordsFederalismSpace (punctuation)Political scienceGeographyComputer sciencePoliticsLaw
DOInot available

Abstract

fetched live from OpenAlex

The COVID-19 pandemic and the economic crisis it has produced have highlighted pre-existing cracks in Canada’s federal structure, particularly in relation to Canada’s cities. On the one hand, Canadian cities are on the front lines addressing and dealing with the impacts of Canada’s major policy challenges – not only COVID-19, but also climate change, the opioid crisis, homelessness, housing unaffordability, and insufficient transit development. On the other hand, cities remain “little siblings” in Canadian federalism: the federal government and the provinces and territories dominate the political and policy conversation, the powers and responsibilities of cities are subject to unilateral provincial change, and provinces maintain a strong presence in municipal affairs through oversight and regulations. Cities face four specific challenges because of this situation: 1. Paternalism: Cities have a semblance of authority in several policy areas, but often little actual power to make changes unilaterally. 2. Constrained finances: Cities have inadequate revenue sources and insufficient fiscal flexibility to meet their responsibilities. 3. Poor coordination: Unclear and overlapping jurisdiction between orders of government leads to poorly coordinated programs and disputes over responsibility. 4. Fragmentation: A lack of appropriate regional governance structures in much of Canada prevents necessary coordination among cities in a metropolitan region. How can these imbalances be addressed? This report recommends two fundamental steps. First, a clarification of the powers and responsibilities of cities is needed. In practice, this entails a review of provincialmunicipal relations, which should take place in the context of a similar review of the imbalance in federal-provincial relations. Six core principles should underlie the review: 1. Take a collaborative approach 2. Start with who does what 3. Follow the pay-for-say principle and avoid unfunded mandates 4. Consider revenue capacity and fiscal flexibility 5. Accommodate differences among municipalities 6. Look forward, not backward Second, trilateral relations in Canada should be deepened. Cities, provinces, and the federal government should have formal avenues for regular meetings and collaborative governance. At the same time, governments should pursue trilateral agreements to address policy challenges that require coordinated action and multi-level funding. In combination, these measures will not only put cities on a firmer footing, but they will also ensure the effective funding, coordination, and delivery of public services across all orders of government. Canada will be better able to “build back better” from COVID-19, including by addressing climate change, reforming social policy, and improving health care, if the governments best able to deliver on these efforts can afford to take them on. Canada will also be better equipped to handle these challenges with better coordination and cooperation among all three orders of government.

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)0.001
metaresearch head score (Gemma)0.003
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: none
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.863
Threshold uncertainty score0.992

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.003
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.001
Bibliometrics0.0010.003
Science and technology studies0.0340.011
Scholarly communication0.0120.004
Open science0.0020.005
Research integrity0.0020.003
Insufficient payload (model declined to judge)0.0390.001

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 head0.030
GPT teacher head0.276
Teacher spread0.246 · 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
GenreOther

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

Citations4
Published2020
Admission routes2
Has abstractyes

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