MétaCan
Menu
Back to cohort
Record W4288444727 · doi:10.1111/taja.12437

Re‐territorializing the city: Youth and the productive role of reggae music in Vanuatu

2022· article· en· W4288444727 on OpenAlexafffund
Daniela Kraemer, Monika Stern

Bibliographic record

VenueThe Australian Journal of Anthropology · 2022
Typearticle
Languageen
FieldArts and Humanities
TopicMusic History and Culture
Canadian institutionsWilfrid Laurier University
FundersSocial Sciences and Humanities Research Council of CanadaCentre National de la Recherche ScientifiqueÉcole des Hautes Etudes en Sciences Sociales
KeywordsSociologyLyricsPopularityEthnographyPoliticsAestheticsArtPolitical sciencePsychologySocial psychologyLiteratureAnthropologyLaw

Abstract

fetched live from OpenAlex

Abstract In Vanuatu, the popularity of reggae music has been on the rise since the late 1980s. Today, reggae music and reggae culture is ubiquitous. For many young people in Port Vila, Vanuatu's capital city, it is a fundamental component of their sense of belonging to the city. Their attraction to reggae derives from its messages of camaraderie, equality and justice. This paper argues that for many urban youth, playing, consuming and sharing reggae music and culture instrumentalises their urban place‐making activities and helps reterritorialise themselves in urban spaces. Drawing on ethnographic research, we demonstrate the extent to which its lyrics and messages resonate with youth who feel they are unable to express their social, economic and political discontent through other mediums. Furthermore, we show how for many youth, reggae conveys a sense of hopefulness that emboldens them to build a new life or ‘father land’ for themselves and their children.

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)0.001
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: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.031
Threshold uncertainty score0.062

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0060.006
Scholarly communication0.0050.001
Open science0.0010.004
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 head0.055
GPT teacher head0.258
Teacher spread0.203 · 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

Citations0
Published2022
Admission routes2
Has abstractyes

Explore more

Same venueThe Australian Journal of AnthropologySame topicMusic History and CultureFrench-language works237,207