The Deal of the Century in Context – Trump's Plan is Part of a Long-Standing Settler-Colonial Enterprise in Palestine
Bibliographic record
Abstract
The main argument of this article is that Trump's “Deal of the Century” (DoC) is part of a continuing settler-colonial project to transform Palestine and its identity from an Arab-Palestinian homeland into a Jewish-Zionist one. The settler-colonial enterprise includes an attempt to change the existing reality and to replace it with a new reality that accepts settlers, through diverse techniques implemented towards the indigenous people, such as deportation, disregard, absenteeism, and confinement within closed reservations, which weaken the ability of the indigenous people to resist. Trump's DoC – in terms of the content of the Plan, the identity of the designers of the Plan, its form of declaration, and the contents of the speeches given at the White House meeting on January 28, 2020 – is an additional event in a continuing series of past events. These have sought, by means of a prior declaration, to serve as an international cover to control Palestine and to change its territory and demography. They do so while ignoring the Palestinian reality formed over hundreds of years, and seek to enhance the erasure of this reality and to create a new one by imposing a settler-colonial enterprise which gives the settlers structural superiority over the indigenous people of Palestine.
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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 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.006 | 0.005 |
| Scholarly communication | 0.007 | 0.002 |
| Open science | 0.000 | 0.002 |
| Research integrity | 0.001 | 0.003 |
| Insufficient payload (model declined to judge) | 0.008 | 0.001 |
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".