<i>Punk Beur</i> : Popular Music, Itinerancy and Identity in Sakinna Boukhedenna’s <i>Journal ‘Nationalité: immigré(e)</i> ’
Bibliographic record
Abstract
Sakinna Boukhedenna’s Journal ‘Nationalité: immigré(e)’ contains many stimulating invocations of popular music, and these highlight familiar Beur themes of marginalisation, movement, liminality and identity in a highly interesting way. Engaging seriously with Sakinna’s musical interests and her commentaries about the rock and proto-punk music of Lou Reed, the punk rock of the Sex Pistols, the reggae music of Max Romeo, Rastafarian culture, and the Arab music of Umm Kulthum is crucial for understanding the importance of movement and itinerancy in her struggle to construct a viable postcolonial identity. Sakinna’s treatment of music also takes us out of the usual Beur geographical frame (France / Mediterranean / North Africa) to the worlds of the Atlantic and the Caribbean, and it reminds us of the richness of Beur writing and the multimedia modalities of Beur culture more generally.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot 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.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.014 | 0.009 |
| Scholarly communication | 0.011 | 0.002 |
| Open science | 0.001 | 0.005 |
| Research integrity | 0.002 | 0.002 |
| Insufficient payload (model declined to judge) | 0.006 | 0.001 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".