A GENERATION OF ORPHANS: THE SOCIO-ECONOMIC CRISIS IN CÔTE D'IVOIRE AS SEEN THROUGH POPULAR MUSIC
Bibliographic record
Abstract
ABSTRACT Côte d'Ivoire has travelled full circle from economic success (from 1960 to about 1979) to failure (from the 1980s onwards) in little more than a generation. In the early 1990s, Zouglou, today Côte d'Ivoire's internationally best-known music, emerged at the university residences of the University of Abidjan in the Yopougon quarter. The young people who were to become the ‘Zouglou generation’ were precisely the generation that bore the brunt of this economic deterioration. Zouglou was born at a time when, as a result of an unprecedented economic crisis and the attendant structural adjustment measures, university students experienced a general downgrading not only as students but also as future graduates hoping to find employment. In addition, the number of students and school pupils who were unable to complete their education grew considerably during this time. As this article demonstrates, these phenomena had a profound influence on the development of the philosophy associated with Zouglou music. Accordingly, Zouglou singers have called themselves the ‘sacrificed generation’. Indeed, the many songs about orphans in Zouglou music can be read as a symbolic statement about this experience: the sense that Ivoirian youth have been abandoned by their elders, their families and the political authorities is unmistakable in the words of Zouglou songs consoling such (metaphorical) orphans. Zouglou music has become an important platform through which this generation has been able to express itself, as well as a site for oral street poetry and collective catharsis. The article discusses the content of these songs, as well as interviews with Zouglou singers on this matter, to investigate how Zouglou, as a cultural phenomenon, grew out of the experience of a generation.
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.008 | 0.006 |
| Scholarly communication | 0.004 | 0.002 |
| Open science | 0.001 | 0.004 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.006 | 0.000 |
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.
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".