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Record W2796185122 · doi:10.1017/jlr.2018.10

JUDGING RELIGION AND JUDGES' RELIGIONS

2018· article· en· W2796185122 on OpenAlexaffabout
Howard Kislowicz

Bibliographic record

VenueJournal of Law and Religion · 2018
Typearticle
Languageen
FieldSocial Sciences
TopicAmerican Constitutional Law and Politics
Canadian institutionsUniversity of Calgary
Fundersnot available
KeywordsPreceptArgument (complex analysis)Judicial opinionFaithLawPolitical scienceReligious freedomSociologyEpistemologyEconomic freedomPhilosophy

Abstract

fetched live from OpenAlex

Abstract In liberal democracies with religiously diverse populations, it would be surprising and troubling if a judge relied on a religious text or precept to resolve a legal dispute. It would deeply offend principles of religious freedom if individuals were bound by judicial pronouncement to obey the dictates of a faith they do not share. However, some commentators have long claimed that a person's cultural worldview has an impact on the way they interpret laws and facts, and there is some empirical support for this claim. There is thus reason to expect that judges’ worldviews have some effect on their decision-making. I argue that when judges deliberately avoid engaging with their own moral perspectives, they may mask to themselves the impact that such perspectives have on their decisions. The alternative of explicit reference to religious sources in judicial decisions, however, is too problematic for the religious freedom of legal subjects. I argue that judges should instead endeavor to be conscious of the influence their backgrounds have on their decision-making, but suggest that judicial institutions may be resistant to adopting practices that would support such an approach. The article draws on Canadian and American case law to demonstrate its argument but has wider applicability to liberal states.

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: none
Teacher disagreement score0.958
Threshold uncertainty score0.535

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 studies0.0010.001
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 head0.016
GPT teacher head0.306
Teacher spread0.290 · 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

Citations5
Published2018
Admission routes2
Has abstractyes

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