MétaCan
Menu
Back to cohort
Record W3034714365 · doi:10.3138/jcs.2019-0003

The Canadian Senate: An Institution of Reconciliation?

2020· article· en· W3034714365 on OpenAlexvenueaboutno aff
Susan Manning

Bibliographic record

VenueJournal of Canadian Studies · 2020
Typearticle
Languageen
FieldSocial Sciences
TopicPolitical Systems and Governance
Canadian institutionsnot available
Fundersnot available
KeywordsFederalismIndigenousPoliticsInstitutionDemocracyPublic administrationMainstreamPolitical scienceLawLegislationTreatySociologyPolitical economy

Abstract

fetched live from OpenAlex

Growing mainstream awareness of tensions surrounding Indigenous rights and recent political movement to promote reconciliation suggest that the time might be ripe to revisit some of the most important ideas for strengthening Indigenous Peoples’ place and space within the Canadian federation, particularly within the country’s central political institutions. This article argues that the Canadian Senate has the potential to be an important institution for reconciliation in Canada’s system of federalism. It centres on one of the proposed recommendations of the Charlottetown Accord—reserved representation for Aboriginal people in the Senate. Using a theoretical framework based in treaty federalism, this article argues that reserved Indigenous representation in the Canadian Senate could provide a starting point to mitigate some of the existing tensions between dominant understandings of federalism and reconciliation, as well as to ensure that Canada’s political institutions better represent the interests of Indigenous Peoples and Nations. The Senate’s essential responsibilities in Canadian democracy, including representing sectional interests and reviewing legislation, make it an ideal starting place for realizing commitments to reconciliation in Canada’s central political institutions.

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)0.002
Version: codex-gemma-dda1882f352aValidation 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: Empirical
Teacher disagreement score0.938
Threshold uncertainty score0.658

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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 head0.095
GPT teacher head0.335
Teacher spread0.240 · 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 teacher head, 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

Citations5
Published2020
Admission routes2
Has abstractyes

Explore more

Same venueJournal of Canadian StudiesSame topicPolitical Systems and GovernanceFrench-language works237,207