MétaCan
Menu
Back to cohort
Record W4414131201 · doi:10.1080/17411912.2025.2547333

<i>Jaww:</i> conceptualising Tunisian musical air

2025· article· en· W4414131201 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueEthnomusicology Forum · 2025
Typearticle
Languageen
FieldSocial Sciences
TopicAfrican history and culture studies
Canadian institutionsUniversity of Alberta
FundersUniversity of California BerkeleyAmerican Institute for Maghrib Studies
KeywordsMusicalTourismField (mathematics)Perspective (graphical)

Abstract

fetched live from OpenAlex

Based on musical and sensory ethnography across Tunisia, this article explores the interconnected dimensions of jaww, a complex musico-cultural concept encompassing atmosphere, social environment, climate, and mood. For both performers and listeners, jaww functions as: (1) a connection between the air of different settings across time and space, (2) a conduit for the transmission of privileged musical knowledge, (3) an immersive, multisensory medium infused with sounds, smells, and spirits; and (4) a pervasive intersubjective feeling. While special attention is given to the jaww of ma’lūf (Tunisian-Andalusian music), the atmospheres of other Tunisian musical traditions are also considered. The role of jaww in evoking nostalgia is examined within the broader context of Andalusi musics, and comparisons are drawn with related North African and Middle Eastern concepts such as ṭarab (musical ecstasy) and ḥāl (spiritual or emotional state). Finally, the article considers how region, descent, social class, and national identity shape the musical experience of jaww.

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.

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)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesScience and technology studies
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.930
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0020.002
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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 head0.022
GPT teacher head0.316
Teacher spread0.294 · 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