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Record W2994570748

Between Despair and Denial: What to Do About the Canadian Senate

2005· article· en· W2994570748 on OpenAlexaboutno aff
Daniel Pellerin

Bibliographic record

VenueRevue d'études constitutionnelles · 2005
Typearticle
Languageen
FieldSocial Sciences
TopicCanadian Identity and History
Canadian institutionsnot available
Fundersnot available
KeywordsHumanitiesPolitical scienceInstitutionOligarchyClientelismPoliticsLawArtDemocracy
DOInot available

Abstract

fetched live from OpenAlex

espanolMeme dans les annees 1880, on se moquait du Senat canadien disant que c’etait « un fonds de corruption aux mains du gouvernement et l’enclos du vieux bucheur du parti ». Des manifestions d’interet pour l’institution qui ne soient pas teintees de derision ou de dedain demeurent rares; il n’y a pas de veritable enthousiasme. Et pourtant, si seulement c’etait fait de maniere sensible, au moyen de l’application constante d’un principe realiste, clair et valide historiquement, la reforme du Senat pourrait s’averer la meilleure strategie pour revitaliser le systeme politique du Canada et renforcer les liens qui unissent le pays. Au lieu de se resigner a l’apathie, a la denegation et au desespoir ou encore de rever de demolition ou de se fier a des remedes survendus qui ignorent le contexte institutionnel et les traditions, il nous est possible de trouver le materiel necessaire a une digne transformation de la Chambre haute dans ses propres principes fondateurs EnglishEven in the 1880s, the Canadian Senate was mocked as “a bribery fund in the hands of the government, and paddock for the old wheel horse of the party.” Expressions of genuine interest in the institution that are not laced with derision or disdain remain rare; real enthusiasm there is none. Yet, if only it were done sensitively, by the consistent application of a clear, realistic, and historically validated principle, reform of the Senate might prove the best strategy for revitalizing Canada’s political system and for strengthening the ties that hold the country together. Rather thanrendering to apathy, denial, and despair, or else dreaming of demolition or trusting oversold remedies that ignore all institutional context and tradition, we can find most of the materials for a stately renovation of the Red Chamber in its own founding principles.

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)0.003
metaresearch head score (Gemma)0.006
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: none
Teacher disagreement score0.165
Threshold uncertainty score0.969

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0030.006
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0020.005
Science and technology studies0.0470.042
Scholarly communication0.0130.006
Open science0.0030.005
Research integrity0.0040.007
Insufficient payload (model declined to judge)0.0090.001

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 head0.257
Teacher spread0.232 · 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

Citations2
Published2005
Admission routes1
Has abstractyes

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