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Record W3126032045 · doi:10.21991/c95q3w

Nonpartisanship of Agents of Parliament: Bill C-520’s Redundant and Likely Unconstitutional Approach

2014· article· en· W3126032045 on OpenAlexvenueno aff
Tolga Raymond Yalkin, Patrick F. Baud

Bibliographic record

VenueConstitutional Forum / Forum constitutionnel · 2014
Typearticle
Languageen
FieldSocial Sciences
TopicLegal principles and applications
Canadian institutionsnot available
Fundersnot available
KeywordsParliamentCharterConstitutionalityBill of rightsPoliticsLawPolitical sciencePublic sectorImpartialityAmbiguityPublic serviceLaw and economicsPublic administrationEconomicsConstitution

Abstract

fetched live from OpenAlex

Bill C-520 was introduced to ensure the non-partisanship of agents of Parliament and their staff. Partisan activities, however, are already regulated by the Public Service Employment Act and the Values and Ethics Code for the Public Sector. The bill would require public servants to disclose partisan history even though such history cannot be taken into account in hiring or retention; to disclose any intentions to engage in partisan activities even though such activities are already prohibited if they would impair one’s real or apparent impartiality; and to solemnly affirm a narrow version of the Values and Ethics Code for the Public Sector they already sign when accepting employment. Furthermore, Bill C-520 runs roughshod over employees’ Charter rights and freedoms by attempting to compel expression and seemingly encouraging discrimination in hiring. The bill discourages political association, without adequate regard to the constitutional requirements set out by the SCC in Osborne that individual circumstances be taken into account when restricting public servant’s political freedoms. In sum, significant portions of the bill are duplicative of existing regulation, introduce ambiguity into the regime for the regulation of public servants, and are of dubious constitutionality.

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)0.037
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 score0.976
Threshold uncertainty score0.088

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0170.037
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0010.001
Science and technology studies0.0090.009
Scholarly communication0.0130.005
Open science0.0030.004
Research integrity0.0240.016
Insufficient payload (model declined to judge)0.0070.003

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 head0.034
GPT teacher head0.291
Teacher spread0.258 · 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

Citations0
Published2014
Admission routes1
Has abstractyes

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