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Record W3125613243

Prudence and Opportunity: A Shadow Federal Budget for 2013

2013· article· en· W3125613243 on OpenAlexaboutno aff
Alex Laurin, William B. P. Robson

Bibliographic record

VenueC.D. Howe Institute Commentary · 2013
Typearticle
Languageen
FieldSocial Sciences
TopicCanadian Policy and Governance
Canadian institutionsnot available
Fundersnot available
KeywordsEconomicsEconomic policyPrudenceSubsidyRevenueGovernment budgetTax revenueFinanceBusinessPublic economicsMacroeconomicsMarket economyPublic finance
DOInot available

Abstract

fetched live from OpenAlex

Canadians can be proud of their country’s relatively strong recovery from the 2009 slump, but should not be complacent. Canada’s fiscal situation is strong only by comparison with the dire situations in other major advanced countries. Our national saving rate is too low to support needed investments. And economic and fiscal risks abroad cloud the outlook. The C.D. Howe Institute’s 2013 Shadow Budget protects Canada in the near term by accelerating the federal government’s planned return to budget surpluses, and in the longer term with reforms to boost economic growth. This Shadow Budget builds on the economic and fiscal outlook in the 2012 Fall Update by scheduling an end to budget deficits by fiscal year 2014/15. The key focus of the plan is further control of government spending. It proposes to reduce the number of federal employees from planned levels, and limit mounting compensation costs per employee by raising employee contributions to pension and other under-funded benefits. It would also trim net subsidies to Crown corporations and “tax expenditures” – programs delivered through the tax system. The Shadow Budget also proposes reforms that have low or zero net costs that will boost Canada’s economic dynamism. Among them is a revenue-neutral one-percentage point shift from personal-income to consumption taxation, which will promote income growth and help provincial finances. It also proposes reforms to Equalization and Employment Insurance that will make these programs more supportive of regional development. Other growth promoting measures will liberate trade and investment, level the retirement playing field, and reduce the role of tax considerations in businesses’ inter-provincial and international investment decisions. By building on Canada’s recent relative success, this Shadow Budget will protect Canadians from the risks of excessive government borrowing, and promote the private prosperity and public programs that ensure Canadians’ economic future.

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)0.013
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 score0.952
Threshold uncertainty score0.511

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0080.013
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0020.002
Science and technology studies0.0070.001
Scholarly communication0.0100.003
Open science0.0030.003
Research integrity0.0080.007
Insufficient payload (model declined to judge)0.0340.011

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 head0.040
GPT teacher head0.304
Teacher spread0.264 · 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

Citations0
Published2013
Admission routes1
Has abstractyes

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