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Record W2560389634 · doi:10.18733/c37308

African Legacies in Pacific Colombian Music: A Synthesis

2016· article· en· W2560389634 on OpenAlexfundvenueno aff
Carlos A. Arcila

Bibliographic record

VenueCultural and Pedagogical Inquiry · 2016
Typearticle
Languageen
FieldSocial Sciences
TopicAfro-Latin American Studies
Canadian institutionsnot available
FundersUniversity of Alberta
KeywordsTraditional musicKey (lock)GeographyVisual artsHistoryEthnologyAnthropologyGenealogyArtSociologyEcologyMusicalBiology

Abstract

fetched live from OpenAlex

Essentially, a summary of extensive and intensive research with several Afro-Colombian musicians who live in Colombia’s Pacific Coastal region, this article is presented as two major complementary components. Firstly, a multimedia, predominantly, with original recorded music and photographs, as importantly, a separate text with explanatory discussions and analyses, both perform key roles and occupy centre stage. The article demonstrates in audible and visible terms the pervasive and living influences of Africa on the region’s cultures. To do so, the article concentrates on an explicit analysis of the currulao music. It traces the music’s origins to the cimarrones who fled the plantations and mines to live in the mountainous, tropical interior. The research shows that the formerly, enslaved Africans drew on their cultures, for example, their drums and music to accommodate and resist the insistent and usually, enforced colonizing activities of the Roman Catholic missionaries.

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)0.000
metaresearch head score (Gemma)0.001
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: Review · Consensus signal: none
Teacher disagreement score0.061
Threshold uncertainty score0.121

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0030.004
Science and technology studies0.0030.002
Scholarly communication0.0050.001
Open science0.0000.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0090.000

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 head0.612
GPT teacher head0.465
Teacher spread0.147 · 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
GenreReview

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

Citations1
Published2016
Admission routes2
Has abstractyes

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