Lebanon’s ‘Concomitant Crises’ and Consociationalism as a Leading Form of Conflict Management
Bibliographic record
Abstract
Abstract Consociationalism is often perceived as a go-to response to ethnicized conflict, a form of ‘political prescription’ proffered by both external mediators and domestic constitutional designers alike. Power-sharing theory posits that extended periods of cross-community cooperation can lessen divisions, allowing the system to give way to more ‘normal’ politics. However, increasing evidence from Lebanon and elsewhere tracks a different set of incentives. Rather than facilitating a virtuous cycle of cooperation and consensus, a more vicious cycle of immobilism, intransigence, and institutional collapse emerges. In Lebanon, this has coincided with a set of intersecting political, economic, and humanitarian crises. This paper outlines how consociationalism’s causal logic has undergone a full reversal in Lebanon, maps the manifestations and implications for the country, and reflects on what power-sharing theory can learn from Lebanon’s consociational experience.
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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 | 0.000 | 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 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".