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Record W2301112045 · doi:10.1017/cbo9780511491177.001

Preface

2008· book-chapter· en· W2301112045 on OpenAlexaff
Mark E. Warren, Hilary Pearse

Bibliographic record

VenueCambridge University Press eBooks · 2008
Typebook-chapter
Languageen
FieldSocial Sciences
TopicCommonwealth, Australian Politics and Federalism
Canadian institutionsUniversity of British Columbia
Fundersnot available
KeywordsHistory

Abstract

fetched live from OpenAlex

In 2004, the government of British Columbia embarked on a bold experiment in institutional design: it empowered an assembly of 160 near-randomly selected citizens to spend eleven months assessing the province's electoral system. The government asked the British Columbia Citizens' Assembly on Electoral Reform (CA) to recommend a new electoral system if the Assembly concluded that the existing system could be improved. And the government committed to putting the recommendation of the BC Citizens' Assembly to a referendum, and then to legislating the results of the referendum in to law, should it pass. Though citizen bodies have in the recent past served as advisory bodies to constitutional commissions, the CA represents the first time a government has responded to citizen discontent by empowering a citizen body to redesign fundamental political institutions. The case stands out for the care with which the experiment was conceived. The CA approximated the kind of process a political scientist might well design to test key propositions of deliberative democratic theory. The CA was conceived with deliberation in mind, and then given the time, power, support, and financing to return a credible, representative, and deliberate decision. The selection of CA members was designed to bypass the electoral system, and yet function as a representative body through the device of near-random selection. It was carefully insulated from established political interests.

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)0.001
metaresearch head score (Gemma)0.004
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: Not applicable
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.241
Threshold uncertainty score0.000

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.004
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0020.002
Science and technology studies0.0030.001
Scholarly communication0.0030.002
Open science0.0010.002
Research integrity0.0010.004
Insufficient payload (model declined to judge)0.2410.121

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 head0.057
GPT teacher head0.255
Teacher spread0.198 · 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

Citations0
Published2008
Admission routes1
Has abstractyes

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Same venueCambridge University Press eBooksSame topicCommonwealth, Australian Politics and FederalismFrench-language works237,207