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Record W4387459033 · doi:10.3390/rel14101273

Publishing Privileges the Published: An Analysis of Gender, Class, and Race in the Hymnological Feedback Loop

2023· article· en· W4387459033 on OpenAlexaff
Katie Graber, Anneli Loepp Thiessen

Bibliographic record

VenueReligions · 2023
Typearticle
Languageen
FieldArts and Humanities
TopicMusic History and Culture
Canadian institutionsUniversity of Ottawa
FundersLilly EndowmentEli Lilly and Company
KeywordsPublishingRace (biology)Power (physics)HistoryMusicalWorshipSociologyPrejudice (legal term)Gender studiesMedia studiesLawLiteraturePolitical scienceArt

Abstract

fetched live from OpenAlex

Hymnal curation processes have for centuries maintained restrictive feedback loops: material that has been published elsewhere continues to be published, and new material—particularly when it offers something unique—is evaluated against the criteria of what has gone before. This results in hymnals that tend to over-represent the work of white male contributors from a Euro–American perspective and limits the amount of material by women, people of color, and contributors from around the world. Since the mid-to-late twentieth century, when some denominations have sought to diversify their worship music collections, change has come slowly. Contemporary hymnody and contemporary worship music are predominantly written by men, and additions of global song have relied on a narrow swath of scholars and publications. To understand some of the power imbalances embedded in church music publishing, we use Voices Together, the 2020 Mennonite hymnal for which we were committee members, as a case study. We explore how this new collection came to include only about 45 newly published songs out of the total of 749 songs, and we analyze statistics related to gender and global song. An intersectional approach allows us to examine how musical actors are marginalized in multiple ways, considering prejudice against class, race, and gender. Understanding how current collections are informed by previously published collections, and consequently how the demographics of contributors have shifted over time, explains how publishing privileges the published and offers insight needed to begin to rectify this problem.

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: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.548
Threshold uncertainty score0.688

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0010.001
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

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 head0.068
GPT teacher head0.255
Teacher spread0.188 · 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

Citations2
Published2023
Admission routes1
Has abstractyes

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