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Record W2340277123 · doi:10.1111/ssqu.12272

The Environmental Revolution and the Supreme Court of Canada: Empirical Analysis of Postmaterialist Value Change Across Four Decades*

2016· article· en· W2340277123 on OpenAlexaboutno aff
Matthew E. Wetstein, C.L. Ostberg

Bibliographic record

VenueSocial Science Quarterly · 2016
Typearticle
Languageen
FieldSocial Sciences
TopicJudicial and Constitutional Studies
Canadian institutionsnot available
FundersUniversity of the Pacific
KeywordsSupreme courtValue (mathematics)Logistic regressionLawEnvironmental changeRelevance (law)Political scienceEconomicsClimate changeStatistics

Abstract

fetched live from OpenAlex

Objective This study examines Ronald Inglehart's theory of value change in the Supreme Court of Canada. The theory has received little attention in the public law literature, yet its central tenet suggests that intergenerational value change might influence the way that Supreme Court justices decide cases over time. Method Using a socio‐attitudinal model of judicial behavior, the study analyzes all environmental decisions between 1973 and 2010. Case outcomes are coded as either pro‐environmental (1) or anti‐environmental (0). Logistic regression analysis examines whether Court tenures, case facts, and judge‐level variables have a significant impact on predicting a postmaterialist outcome. Results We find evidence of postmaterialist, pro‐environmental value change, with more contemporary justices exhibiting pro‐environmental positions, even in the face of rival variables. Conclusion Our results suggest that intergenerational value change has influenced decision making in Canadian environmental cases over the last 40 years, and indicate the theory may have relevance for explaining other high court change over time in a postmaterialist direction.

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)0.002
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesScience and technology studies
Consensus categoriesScience and technology studies
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.854
Threshold uncertainty score0.998

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0030.011
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 head0.031
GPT teacher head0.308
Teacher spread0.277 · 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; both teacher heads agree on what is shown here.

Study designObservational
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

Citations0
Published2016
Admission routes1
Has abstractyes

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