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Record W1811699625

Mini Citizens' Assemblies on the Future of Canadian Federalism

2008· article· en· W1811699625 on OpenAlexfundaboutno aff
Min Reuchamps

Bibliographic record

VenueORBi (University of Liège) · 2008
Typearticle
Languageen
FieldSocial Sciences
TopicPolitical Systems and Governance
Canadian institutionsnot available
FundersUniversité de MontréalQueen's UniversityFonds De La Recherche Scientifique - FNRS
KeywordsFederalismFlemishMultitudePolitical sciencePerceptionPublic relationsQualitative researchPublic administrationSociologyPsychologyPoliticsLawSocial scienceGeography
DOInot available

Abstract

fetched live from OpenAlex

Canadian federalism and its future are undeniably a frequent and important topic of debate. Many people have their own opinions on the topic but they rarely have the opportunity to discuss it with fellow Canadians, experts and politicians in a setting conducive to learning and debate. With this in mind, three small citizens' assemblies on the future of federalism in Canada were held in the spring of 2008, two in Montreal and one in Kingston. For over four hours, participants had the opportunity to learn about and discuss topics relating to federalism with experts, politicians and other Canadians. The qualitative and quantitative data collected throughout these meetings provide a clearer picture of Canadians' perceptions and preferences regarding the future of their country and their province. The initial results show a wide range of knowledge, attitudes and opinions among participants at a single meeting and from one meeting to the next. There is no clear profile of a “federal citizen” but rather a multitude of profiles, sometimes very diverse. For comparison purposes, two more citizens' assemblies will be held in Belgium to compare French-speaking and Flemish-speaking Belgians' perceptions and preferences regarding federalism.

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)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.924
Threshold uncertainty score0.505

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
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 head0.027
GPT teacher head0.220
Teacher spread0.193 · 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 designTheoretical or conceptual
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
Published2008
Admission routes2
Has abstractyes

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