MétaCan
Menu
Back to cohort

Lessons of Comparison

2019· book-chapter· en· W2969814946 on OpenAlexaboutno aff
Paul J. Quirk

Bibliographic record

VenueThe United States and Canada · 2019
Typebook-chapter
Languageen
FieldSocial Sciences
TopicAmerican Constitutional Law and Politics
Canadian institutionsnot available
Fundersnot available
KeywordsPresidencyPolitical scienceFederalismBureaucracyPoliticsLegislaturePublic administrationPresidential systemPolitical economyState (computer science)SociologyLaw

Abstract

fetched live from OpenAlex

Abstract This concluding chapter synthesizes the main lessons of the book. Overall, the book suggests that effects of institutions—including those of parliamentary versus presidential or separation-of-powers systems—are contingent on other political circumstances, especially the state of the political party system, and yet that these effects will often shape important outcomes. The chapter reviews the book’s comparisons between the United States (U.S.) and Canada on political values and culture; electoral and party systems; executive leadership and legislative processes; bureaucratic influence; and federalism. It then reviews the comparisons of several policy areas—economic policy, environmental policy (climate change); social policy (healthcare); morality policy (abortion and gay rights); and diversity and inclusion (immigration and civil rights)—and of selected societal outcomes. It discusses the Trump presidency as both an indication and a cause of deterioration in American political institutions, and closes by considering the challenges facing both the U.S. and Canadian political systems.

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)0.005
metaresearch head score (Gemma)0.015
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: none
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.968
Threshold uncertainty score0.130

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0050.015
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0030.003
Science and technology studies0.0050.009
Scholarly communication0.0110.010
Open science0.0030.004
Research integrity0.0020.006
Insufficient payload (model declined to judge)0.0350.005

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 head0.279
Teacher spread0.252 · 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
Published2019
Admission routes1
Has abstractyes

Explore more

Same venueThe United States and CanadaSame topicAmerican Constitutional Law and PoliticsFrench-language works237,207