MétaCan
Menu
Back to cohort
Record W7154553416

A STUDY OF SELECTED REPRESENTATIVE SETTINGS OF PSALM 100 FOR CHOIR

2019· dissertation· en· W7154553416 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

aboutThe title or abstract carries a Canadian signal from the geographic lexicon.
no affNo Canadian affiliation: this work is invisible to an affiliation-only frame.
No Canadian affiliation. An affiliation-only frame, the usual design, would never have seen this work. It is one of the works that make the case for inverting the frame.

Bibliographic record

VenueKU ScholarWorks (The University of Kansas) · 2019
Typedissertation
Languageen
FieldSocial Sciences
TopicFreedom of Expression and Defamation
Canadian institutionsnot available
Fundersnot available
KeywordsChoirPoetryHebrewLiturgyQuarter (Canadian coin)
DOInot available

Abstract

fetched live from OpenAlex

Through much of the history of the Judeo-Christian tradition the book of Psalms has been a primary resource for the liturgical and devotional life of both Jews and Christians. Psalms is one of the most familiar and frequently used books in the scriptures and it has had a huge influence on Western culture. The Hebrew Psalms is an anthology of 150 poems drawn from five different collections that have been combined into one book. Among them, Psalm 100, popularly known as the “Jubilate,” is perhaps the most frequently set psalm of praise. This lecture-recital will survey representative choral settings of Psalm 100 drawn from the works of selected composers writing from the sixteenth through the twentieth century. I will begin with an introductory discussion of the origin, genres, and liturgical settings of the Psalms. Following this I will examine the poetry of Psalm 100 in some detail. Finally, I will engage in a comparative analysis of the stylistic characteristics of the selected choral settings of Psalm 100, focusing especially on the different approaches to text setting taken by each composer. The composers I have selected for this study include: Josquin des Prez (c.1440-1521), William Byrd (c.1543-1623), Heinrich Schütz (1585-1672), Johann Sebastian Bach (1685-1750), Felix Mendelssohn-Bartholdy (1809-1847), and John Høybye (b.1939).

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.

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)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.034
Threshold uncertainty score0.613

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0010.000
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 head0.021
GPT teacher head0.307
Teacher spread0.287 · 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