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Record W3083379099 · doi:10.5334/snr.140

The Arbiters of Faith: Legislative Assembly of BC Entanglement with Religious Dogma Resulting from Legislative Prayer

2020· article· en· W3083379099 on OpenAlexaboutno aff
Ian Bushfield, Teale N. Phelps Bondaroff

Bibliographic record

VenueSecularism and Nonreligion · 2020
Typearticle
Languageen
FieldSocial Sciences
TopicAmerican Constitutional Law and Politics
Canadian institutionsnot available
Fundersnot available
KeywordsPrayerLegislatureFaithLawPolitical scienceSample (material)Face (sociological concept)SociologyEpistemologyPhilosophyTheologySocial science

Abstract

fetched live from OpenAlex

Daily sittings of the Legislative Assembly of British Columbia (BC), Canada begin with a prayer or reflection delivered by a Member of the Legislative Assembly (MLA). MLAs have the option of using a sample prayer from a list of five provided by Legislative staff, or of delivering a prayer of their own devising. The Office of the Clerk is currently revising the list of sample prayers to include a greater diversity of beliefs. To accomplish this task, bureaucrats face a number of practical and constitutional challenges. This article explores these challenges. The Office of the Clerk will have to first identify religious and belief groups that are present in BC, then select a reasonable number of those groups to include on the list, and finally identify prayers and reflections that are representative of those traditions. Each of these steps raises practical questions with respect to how bureaucrats can actually make these decisions, and to more fundamental questions regarding the appropriateness of the decisions made. Given these challenges, this paper concludes that the practice of offering sample prayers should be avoided, and that MLAs should be called upon to deliver prayers and reflections of their own devising, or that legislative prayer be abolished.

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: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.902
Threshold uncertainty score0.984

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 studies0.0000.001
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 head0.018
GPT teacher head0.273
Teacher spread0.255 · 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 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

Citations0
Published2020
Admission routes1
Has abstractyes

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