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Record W3038763344 · doi:10.16995/olh.469

Umbanda: Africana or Esoteric?

2020· article· en· W3038763344 on OpenAlexaff
Steven Engler

Bibliographic record

VenueOpen Library of Humanities · 2020
Typearticle
Languageen
FieldSocial Sciences
TopicAnthropological Studies and Insights
Canadian institutionsMount Royal University
Fundersnot available
KeywordsIdeologyAmbiguityCategorizationRace (biology)SociologyCentralityVariety (cybernetics)DoctrineGender studiesAnthropologyEpistemologyPolitical sciencePhilosophyLawPoliticsLinguistics

Abstract

fetched live from OpenAlex

Umbanda is a dynamic and varied Brazilian spirit-incorporation tradition first recorded in the early twentieth century. This article problematizes the ambiguity of categorizing Umbanda as an ‘Afro-Brazilian’ religion, given the acknowledged centrality of elements of Kardecist Spiritism. It makes a case that Umbanda is best categorized as a hybridizing Brazilian Spiritism. Though most Umbandists belong to groups with strong African influences alongside Kardecist elements, many belong to groups with few or no African elements, reflecting greater Kardecist influence. Kardecist elements are universal in Umbanda; Africana elements are not. Kardecism is a western esoteric tradition and a key factor in the emergence of a wide variety of Latin American Spiritisms, including Umbanda. Labelling Umbanda as ‘Afro-Brazilian’ fails to acknowledge the beliefs and practices of the many Brazilians who practice other forms of the tradition. This case study of the categorization of religions – looking at scholarly ideology, race, historical origins, doctrine and practice – emphasizes the need to look at specific contexts and to avoid broad generalizations.

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: Qualitative · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.005
Threshold uncertainty score0.011

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.003
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0040.007
Scholarly communication0.0030.003
Open science0.0000.002
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0030.000

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 head0.163
GPT teacher head0.328
Teacher spread0.165 · 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 designQualitative
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

Citations9
Published2020
Admission routes1
Has abstractyes

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