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Record W591186721

Canadian democracy from the ground up : perceptions and performance

2014· book· en· W591186721 on OpenAlexaboutno aff
Elisabeth Gidengil, Heather Bastedo

Bibliographic record

VenueUBC Press eBooks · 2014
Typebook
Languageen
FieldSocial Sciences
TopicCanadian Identity and History
Canadian institutionsnot available
Fundersnot available
KeywordsPoliticsParliamentDemocracyElitePerformance artMedia studiesHouse of CommonsSociologyCommonsPolitical scienceLawArt historyHistory
DOInot available

Abstract

fetched live from OpenAlex

Foreword / Michael MacMillan and Alison Loat Introduction / Elisabeth Gidengil and Heather Bastedo 1 Attitudes toward Democratic Norms and Practices: Canada in Comparative Perspective / Lawrence LeDuc and Jon H. Pammett 2 Canadians' Evaluations of MPs: Performance Matters / Nick Ruderman 3 Repertoire-Building or Elite-Challenging? Understanding Political Engagement in Canada / Michael A. Painter-Main 4 Outsiders: Agency and the Non-Engaged / Heather Bastedo, Wayne Chu, and Jane Hilderman 5 Media and Political Inequality / Quinn Albaugh and Christopher Waddell 6 The Story behind the Story: Evaluating the Content of Political News / Heather Bastedo, Quinn Albaugh, and Alex Marland 7 Social Media and Agenda Setting / Wayne Chu and Fred Fletcher 8 Representing Canadians: Is the 41st Parliament Still a Vertical Mosaic? / Livianna Tossutti and Jane Hilderman 9 MPs on the Home Front: How Constituency Characteristics Influence Representational Approaches / Munroe Eagles, Royce Koop, and Alison Loat 10 Democratic Responsiveness in the House of Commons / Kelly Blidook 11 A Tale of Two Perspectives: Election Promises and Government Actions in Canada / Francois Petry Conclusion: Taking Stock of Canadian Democracy from the Ground Up / Elisabeth Gidengil and Heather Bastedo Appendix: Samara 2012 Citizens' Survey Methodology Index

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)0.002
metaresearch head score (Gemma)0.009
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: Empirical · Consensus signal: none
Teacher disagreement score0.909
Threshold uncertainty score0.662

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.009
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0040.012
Science and technology studies0.0220.005
Scholarly communication0.0080.002
Open science0.0010.003
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0320.002

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 head0.018
GPT teacher head0.221
Teacher spread0.202 · 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

Citations9
Published2014
Admission routes1
Has abstractyes

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Same venueUBC Press eBooksSame topicCanadian Identity and HistoryFrench-language works237,207