Bibliographic record
Abstract
The war that started in 2023 between Hamas and Israel is driven by various long-lasting processes, but it also brings to the fore a new cause that hitherto seemed marginal: the armed militias of the Rabbinate and Islamic churches. The Rabbinate militias, embodied in Jewish settler organizations, have taken over not only Palestinian lands, but, gradually, also Israeli society. The Islamic militias, represented by Hamas and the Islamic Jihad, rose to prominence after the traditional resistance groups of the Palestinians – primarily the PLO and the PFLP and, by extension, also the Palestinian Authority – weakened and proved unable to reverse, let alone stop, the Israeli occupation. The rise of these militias, though, is hardly unique to Israel/Palestine, or even the Middle East. It is part of a broader, global process, in which ‘private’ military organizations, financed by states, church-related NGOs and/or organized crime, fight for and against states as well as each other. The ascent of such groups is closely related to the decline of the nation-state and its popular armies, a model that developed in the wake of the French Revolution but no longer resonates with the increasingly globalized nature of capital accumulation. Our previous studies of Middle East wars emphasized the ‘state of capital’ – our notion that the capitalist mode of power fuses state and capital into a single logic in which dominant capital groups are driven by the power quest for differential accumulation. We showed that, in the Middle East, this logic was imposed by a Weapondollar-Petrodollar Coalition of large oil and armament corporations, OPEC, financial institutions and construction firms, whose differential incomes and profits were tightly correlated with – and helped predict – the cyclical eruption of ‘energy conflicts’. But this mode of power comprises not two elements, but three. In addition to state and capital, it also includes the supreme-God churches, and in this paper we outline the role of these churches and their militias in capitalism generally and in Middle East wars specifically.
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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) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.006 | 0.003 |
| Scholarly communication | 0.011 | 0.004 |
| Open science | 0.001 | 0.006 |
| Research integrity | 0.003 | 0.005 |
| Insufficient payload (model declined to judge) | 0.131 | 0.054 |
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".