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Record W7038549247

The Impact of Psalm Singing in Corporate Worship in the Canadian Reformed Churches: Perspectives of the Congregants

2024· article· en· W7038549247 on OpenAlexaboutno aff

Bibliographic record

VenueScholars Crossing (Liberty University) · 2024
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicLepidoptera: Biology and Taxonomy
Canadian institutionsnot available
Fundersnot available
KeywordsSingingWorshipSynodWitnessPeriod (music)
DOInot available

Abstract

fetched live from OpenAlex

The Canadian Reformed Churches1 have a rich history of Psalm Singing, which originated in the 16th-century Reformation, continuing the early church and biblical tradition. Their first Synod in 1954 prioritized singing psalms, initiating the development of an English Psalter containing all 150 Psalms.2 After almost seventy-five years, Psalm Singing characterizes worship in over seventy congregations and church plants in Canada and the USA. Despite this tradition and culture of singing psalms in multigenerational worship, General Synods of the Canadian Reformed Churches have received continuous requests to add more hymns or other songs in the past twenty-five years. The arguments tend to change with every Synod, leaving uncertainty about the congregants’ motivations. Because church leaders submit these requests, the considerations of congregants are unknown. Besides understanding the motivations for song selection, it is essential to consider the relationship between song and theology because changes in the song selection may affect the church’s theology in the future. Psalm Singing in other Reformed church federations faded while their theology changed, which raises the question whether the Canadian Reformed Churches might follow this trend. This qualitative case study explores the theological and generational factors contributing to the requests to add more songs by surveying congregants’ understanding of the Psalm Singing tradition and its theological background.

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)0.001
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: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.086
Threshold uncertainty score0.995

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
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 head0.022
GPT teacher head0.251
Teacher spread0.228 · 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 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
Published2024
Admission routes1
Has abstractyes

Explore more

Same venueScholars Crossing (Liberty University)Same topicLepidoptera: Biology and TaxonomyFrench-language works237,207