From Strangers to Spouses: Early Relational Dialectics in Arranged Marriages among Muslim Families in Lebanon
Bibliographic record
Abstract
This research explores the potential relational dialectics emerging in arranged marriages among Muslim families in Beirut, Lebanon. The study focuses on the tensions rising during the pre-wedding stages of the arranged relationship, during which candidates evolve from total strangers, to fiancés, and ultimately to spouses. Based on a thematic analysis of interviews with sixteen couples, the study revealed six major dialectical tensions emerging along partners’ socio-religious, emotionl, and gender differences, or due to parental interventions: Arranged vs. romantic script, interpersonal vs. social frames, commitment vs. autonomy, traditional vs. liberal gender roles, emotions vs. reason, and family inclusion vs. seclusion. The couples coped with tensions mostly by resorting to religion and to other family members for guidance, by reframing their conditions according to their ideal relational script.
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How this classification was reachedexpand
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 | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| 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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, 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".