“This Year We Will Ski in Dubai:” Halal Tourism and Good Religiosity Among Abidjan’s Upper-Class Muslims
Bibliographic record
Abstract
In this article, I propose to look at how class belonging, and shared notions of good religiosity are intertwined in the context of current ways to assert oneself as a “good Muslim.” Based on ethnographic fieldwork conducted between 2016 and 2019 in the city of Abidjan, Ivory Coast, this article presents a series of portraits of women and their families. These portraits emphasize how the growing popularity of tourist travels towards so-called “Muslim societies” in the Arab world, and more recently in Morocco, plays a role in the construction of “good religiosity” as it is enmeshed in social class relations. The ethnographic data discussed in this article shows that travel consumption asserts class belonging as well as shared notions of “good religiosity.” To draw out this argument, I propose to revisit in a critical way Pierre Bourdieu’s notion of conspicuous consumption as processes of social distinction.
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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 | 0.000 | 0.000 |
| Science and technology studies | 0.003 | 0.003 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 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".