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Record W1524384476

Steal Away Home: The Spirituals as Voice of Hope

2013· article· en· W1524384476 on OpenAlexaff
Norman King, Jane Ripley

Bibliographic record

VenueThe Journal of Macrodynamic Analysis (Memorial University of Newfoundland) · 2013
Typearticle
Languageen
FieldSocial Sciences
TopicRace, History, and American Society
Canadian institutionsUniversity of Windsor
Fundersnot available
KeywordsBeautyAestheticsSoulHumanityLyricsInjusticeSociologyArtHistoryLiteratureLawPhilosophyPolitical scienceTheology
DOInot available

Abstract

fetched live from OpenAlex

In melodies of simple yet profound beauty, in lyrics of vivid images, and in rhythms drawn from their homeland, the songs that came to be known as spirituals give voice to the suffering and hope of an enslaved people. This music expresses a suffering of body, mind, and spirit, a protest against injustice, a hope for freedom, and a conviction of worth despite all afflictions. At the same time, it embodies the beauty of the human soul beneath and beyond all cruelty. Often sung in secret gatherings, the spirituals enabled those enslaved to express an interior soul space that the harshness of slave owners and slave drivers could not reach. These songs ultimately became a source of inspiration and courage as that inner spirit of freedom became outwardly realized in the movement known as the Underground Railroad. This paper will explore themes of word, melody, and rhythm within the spirituals as they bear witness then and now to the capacity of music to express and sustain the depth, beauty, and power of the human spirit. If we listen carefully, we may hear in the spirituals a voice of universal significance; a voice that reaches beyond all culture, race, gender – beyond all differences – to the core of our shared humanity.

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 machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.003
Version: metacan-v3-hybrid-931329e0061cValidation 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: none
Teacher disagreement score0.005
Threshold uncertainty score0.014

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.003
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0030.011
Scholarly communication0.0050.004
Open science0.0000.003
Research integrity0.0010.003
Insufficient payload (model declined to judge)0.0040.001

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 head0.008
GPT teacher head0.236
Teacher spread0.229 · 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 source (direct Gemma or distilled Codex), 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
Published2013
Admission routes1
Has abstractyes

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Same venueThe Journal of Macrodynamic Analysis (Memorial University of Newfoundland)Same topicRace, History, and American SocietyFrench-language works237,207