MétaCan
Menu
Back to cohort
Record W6984877489

The Road to Gaza

2024· other· en· W6984877489 on OpenAlexfundno aff

Bibliographic record

VenueEconstor (Econstor) · 2024
Typeother
Languageen
FieldSocial Sciences
TopicCentral European and Russian historical studies
Canadian institutionsnot available
FundersSocial Sciences and Humanities Research Council of Canada
KeywordsIslamMiddle EastPower (physics)State (computer science)Capital (architecture)Judaism
DOInot available

Abstract

fetched live from OpenAlex

*** You can read, quote, reference and link this working paper, but you cannot reproduce or post it in any form unless permitted in writing by the authors ***** 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.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame distilled prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Insufficient payload (model declined to judge)
Consensus categoriesInsufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.044
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.001
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0080.037

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.

Opus teacher head0.017
GPT teacher head0.265
Teacher spread0.249 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; both teacher heads agree on what is shown here.

Study designNot applicable
Domainnot available
GenreOther

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".

Quick stats

Citations0
Published2024
Admission routes1
Has abstractyes

Explore more

Same venueEconstor (Econstor)Same topicCentral European and Russian historical studiesFrench-language works237,207