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Record W6941172887 · doi:10.11575/prism/27110

No Confidence in Non-Confidence Votes: Would the New Zealand Confidence Protocol or Constructive Non-Confidence Restore the Canadian Confidence Convention?

2014· other· en· W6941172887 on OpenAlexfundaboutno aff

Bibliographic record

VenuePRISM (University of Calgary) · 2014
Typeother
Languageen
FieldAgricultural and Biological Sciences
TopicMycorrhizal Fungi and Plant Interactions
Canadian institutionsnot available
FundersUniversity of Calgary
KeywordsConstructiveConventionProtocol (science)State (computer science)Confidence intervalLimit (mathematics)Legislation

Abstract

fetched live from OpenAlex

Canada’s minority governments from 2004-2011 were characterized by hyper-partisanship, constant brinkmanship, and a number of constitutional controversies that raised questions about the state of Canadian constitutional conventions. This led a number of academics to call for constitutional reform, particularly to the confidence convention. Those advocating reform sought an alternative to the Canadian negative non-confidence vote, which typically triggers new elections, and embraced more “constructive” non-confidence votes, which limit the possibility of early elections and promote mid-term transitions. The reformers drew on ideas from New Zealand, whose confidence convention encourages constructive non-confidence votes, and from European countries that require all non-confidence votes to simultaneously select an alternative government. This thesis assesses the merits and difficulties of importing such models into Canada and concludes that New Zealand’s confidence protocol is the preferred choice for Canada.

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 distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Insufficient payload (model declined to judge)
Consensus categoriesInsufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.163
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.001
Science and technology studies0.0010.001
Scholarly communication0.0000.000
Open science0.0020.000
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0260.001

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 head0.010
GPT teacher head0.211
Teacher spread0.201 · 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; both teacher heads agree on what is shown here.

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

Citations0
Published2014
Admission routes2
Has abstractyes

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