Managing elopement on the mobile phone: continuity and change in Woɗaaɓe<i>te’egal</i>marriage
Bibliographic record
Abstract
Based on extended fieldwork among Fulɓe Woɗaaɓe in Niger and by analysing an ethnographic case, this paper discusses aspects of continuity and change in the practice of a culture-specific form of elopement marriage, called te’egal, in which a married woman leaves her husband to marry a man from another clan. The discussion focuses on two major aspects: (1) the extensive use of mobile phone communication in arranging and logistically managing elopement, and (2) the increasing police involvement in the settlement of te’egal cases. Mobile phone use in the context of elopement is interpreted as a modern means of achieving cultural ends. It acts as a catalyst, making elopement more dynamic. In the wider context of globalization and urbanity, however, this leads not simply to continuity but also to contradictions, as the moral and legal institutions of the state increasingly interfere with the normative framework of customary law.
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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 | 0.003 | 0.005 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.009 | 0.010 |
| Scholarly communication | 0.005 | 0.004 |
| Open science | 0.001 | 0.006 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.001 | 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".