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Record W2555081054 · doi:10.21991/c91t29

The Committee Process: Platform for Participation or Political Theatre?

2016· article· en· W2555081054 on OpenAlexvenueaboutno aff
Cara Faith Zwibel

Bibliographic record

VenueConstitutional Forum / Forum constitutionnel · 2016
Typearticle
Languageen
FieldSocial Sciences
TopicPolitical Systems and Governance
Canadian institutionsnot available
Fundersnot available
KeywordsHouse of CommonsLegislatureParliamentPoliticsGovernment (linguistics)LawmakingLegislationConstitutionPolitical sciencePublic administrationDemocracyLegislative processLegislative assemblyCommonsLaw

Abstract

fetched live from OpenAlex

In Canada’s parliamentary democracy, the government controls the legislative agenda. At least in the case of a majority government, government bills tabled in the House of Commons will ultimately become the law of the land. While the passage of legislation emanating from the government may appear inevitable, the system is structured to provide multiple opportunities to debate and discuss legislative proposals. The process of making law provides some avenues to test and question legislative initiatives, particularly those that may appear inconsistent with Canada’s Constitution; lawmaking may also provide opportunities to ensure that the voices of Canadians — not all of whom feel represented by the government or their Members of Parliament (MPs) — are heard.Unfortunately, while some of these changes and many others are worthy of study and consideration, there is little evidence of any political will to reform the way our committees function. As a result, we are likely to continue to see political and partisan dramas play out before our committees and will have to look to different venues for meaningful participation and debate.

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)0.021
metaresearch head score (Gemma)0.047
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.035
Threshold uncertainty score0.117

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0210.047
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0020.002
Science and technology studies0.0170.020
Scholarly communication0.0250.020
Open science0.0030.013
Research integrity0.0060.008
Insufficient payload (model declined to judge)0.0350.009

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 head0.042
GPT teacher head0.339
Teacher spread0.297 · 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 designQualitative
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

Citations2
Published2016
Admission routes2
Has abstractyes

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