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Record W3124666853 · doi:10.21991/c94q1t

Addressing the Senate’s “Triple-Deficit”: The Senate as Driver of its own Reform

2015· article· en· W3124666853 on OpenAlexaffvenueabout
Adam M. Dodek

Bibliographic record

VenueConstitutional Forum / Forum constitutionnel · 2015
Typearticle
Languageen
FieldSocial Sciences
TopicPolitical Systems and Governance
Canadian institutionsUniversity of Alberta
Fundersnot available
KeywordsLegitimacyDemocratic deficitDemocracyConstitutionAccountabilityLawPolitical scienceNominationPoliticsPublic administration

Abstract

fetched live from OpenAlex

Instead of arguing for or against a “Triple-E” Senate, I argue that, whatever one’s position on the Senate (short of abolition), the Senate suffers from a “Triple Deficit”: (1) an integrity deficit; (2) a legitimacy deficit; and (3) a democratic deficit. It suffers from an integrity deficit because of the reputation that the Senate has for not being a particular demanding job, and, more importantly, because of recent scandals that are a continuation of a history of scandal which the Senate has never taken concrete steps to address. The Senate suff ers from a legitimacy deficit because of the integrity deficit and because of its history of patronage appointments. Finally, it suffers from a democratic deficit for more than the obvious reason that it is unelected. As the Supreme Court stated in the Quebec Secession Reference, democracy as it has come to be understood in Canada means more than simply respect for majority will: “to be accorded legitimacy, democratic institutions must rest, ultimately, on a legal foundation. That is, they must allow for the participation of, and accountability to, the people, through public institutions created under the Constitution. The system must be capable of refl ecting theaspirations of the people.” Rather than allowing for public participation and accountability, the Senate has allowed itself to become isolated from the Canadian people. This sense of isolation has exacerbated the Senate’s democratic deficit and has led Canadians to view it as distant, elitist, andout of touch with the people.

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)0.017
metaresearch head score (Gemma)0.022
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: Empirical · Consensus signal: none
Teacher disagreement score0.262
Threshold uncertainty score0.520

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0170.022
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0020.002
Science and technology studies0.0180.021
Scholarly communication0.0190.007
Open science0.0020.013
Research integrity0.0130.018
Insufficient payload (model declined to judge)0.0120.002

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 head0.081
GPT teacher head0.329
Teacher spread0.248 · 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
Published2015
Admission routes3
Has abstractyes

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