Bibliographic record
Abstract
Abstract This paper considers the imagination of time that is inherent in the political alliance between India and Israel; specifically, as it is made apparent in the context of a shared agricultural program between the two countries, the Indo-Israeli Agricultural Project (IIAP). Recent work in this area of foreign relations has focused on shared strategies for internal and external repression, especially as regards surveillance technologies on undesirable populations, but larger and smaller interactions between political positioning, policies, and policy outcomes are only now making themselves visible. The ideas of “development” (and of those considered “undeveloped”) that drive policy in these two ostensibly democratic countries are structured by the aforementioned imagination of time. By considering the particulars of the IIAP’s “Centres of Excellence” across India, and speeches by Indian Prime Minister Narendra Modi and Israeli Prime Minister Benjamin Netanyahu at these Centres, these ideas of “development” can be seen to be, in reality, the realization of a mythical past where the status of a cultural and religious elite was assured. Situating the supposedly benevolent economic argument for this “development” in the context of the two countries’ religious mythologies permits us to see how political agency in a democracy is withdrawn from people invented as being of “the past”.
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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 | 0.003 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.009 | 0.020 |
| Scholarly communication | 0.008 | 0.004 |
| Open science | 0.001 | 0.005 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.006 | 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 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".