Muslim Marriage Goes Online: The Use of Internet Matchmaking by American Muslims
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.
Bibliographic record
Abstract
This paper analytically explores the recent rise of Internet use among American Muslims who are looking for marriage. Because American Muslims are a heterogeneous community consisting of individuals who, while confessing to a single article of faith, come from a plethora of ethnic and cultural backgrounds, finding a suitable mate within one’s religious, cultural and emotional sphere has become a complex and, at times, problematic journey. As a result, American Muslims are increasing their use of the Internet to overcome existing spatial and cultural barriers. This paper introduces the background of the Islamic marriage tradition, examines American Muslims' marriage practices and then analysis how current online match-making sites are accommodating as well as challenging the American Muslim communities’ traditional practices in matters of finding love and marriage partners.
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Full frame distilled prediction
Teacher imitationNot 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.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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 it