Bibliographic record
Abstract
Rula Jurdi Abisaab and Malek Abisaab, The Shi'ites of Lebanon: Modernism, Communism, and Hizbullah's Islamists (Syracuse, NY: Syracuse University Press, 2014), 350 pages, $49.95, hardcover. In the West today, political Islam is mostly equated with ISIS's spectacle of violence, and with the narrow, bigoted understanding of religion and society that inspires it. It will thus intrigue many readers to discover that the legacy of Islamic intellectual and political activity, from the turn of the twentieth century until today, bore the imprint of a complex interaction between Communist and leftist traditions. A recent book by two professors at McGill University, Rula Jurdi Abisaab and Malek Abisaab, takes on the ambitious task of tracing the history of the sometimes symbiotic, sometimes confrontational relationship among Shi'i communities and clerics in Lebanon, along with occasional discussions of related issues in Iraqi politics. Based on a rich set of primary documents from both countries, the authors describe in great detail the rise and fall of the Communist experience in the region, the shortcomings of the left as it was gradually superseded by Islamic party formations, and the deep debt of the latter to the former. Click here to purchase a PDF version of this article at the Monthly Review website.
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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 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.013 | 0.006 |
| Scholarly communication | 0.007 | 0.003 |
| Open science | 0.001 | 0.004 |
| Research integrity | 0.002 | 0.002 |
| Insufficient payload (model declined to judge) | 0.051 | 0.008 |
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".