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Record W126980331

Government renewal and increasing the role of Caucus

2011· article· en· W126980331 on OpenAlexvenueaboutno aff
John Betts

Bibliographic record

VenueCanadian parliamentary review · 2011
Typearticle
Languageen
FieldSocial Sciences
TopicCanadian Policy and Governance
Canadian institutionsnot available
Fundersnot available
KeywordsDebtCaucusRevenueLegislatureFiscal yearGovernment (linguistics)Legislative assemblyPolitical scienceBusinessFinanceEconomicsPolitics
DOInot available

Abstract

fetched live from OpenAlex

John Betts is the Member for Moncton Crescent at the New Brunswick Legislative Assembly. This is a revised version of a paper presented at the CPA Canadian Regional Conference, Charlottetown, PEI, July 14-18, 2011. The New Brunswick Public Accounts indicate the province reported six years of balanced budgets between 19992000 and 2007-2008. From 20072008 to 2009-2010, government expenses increased 12.5% while revenue was essentially unchanged. Significant deficits were incurred as a result. Fiscal year 2008-2009 reported a deficit of $192.3 million which rose to $737.9 million in 2009-2010. Provincial net debt, which was under $6.6 billion for 2006-2007, grew to $8.4 billion as of December 31, 2010. For 2010-2011, the deficit, estimated at $740 million, will bring the debt to well over $9 billion. The provincial credit rating has been downgraded and the cost to service the public debt for the year ending March 31, 2010, was $616.6 million.

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)0.015
metaresearch head score (Gemma)0.026
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: Empirical · Consensus signal: none
Teacher disagreement score0.951
Threshold uncertainty score0.618

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0150.026
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0030.004
Science and technology studies0.0060.007
Scholarly communication0.0060.004
Open science0.0020.003
Research integrity0.0040.003
Insufficient payload (model declined to judge)0.0080.001

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 head0.025
GPT teacher head0.248
Teacher spread0.223 · 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
GenreEmpirical

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

Citations1
Published2011
Admission routes2
Has abstractyes

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