Universities in Opposition to Israel’s Military Occupation and the De-development of the West Bank and Gaza
Bibliographic record
Abstract
This paper argues that the violation of justice in Palestine began in 1948 and was deepened in 1967 with the further occupation and de-development of Palestine which continues to this day. For forty two years, international law has been defied by Israel with one excuse after another that few people accept. Israel has persistently built more and more settlements and separations that make the basic human right to education and health near impossible for the Palestinians. Whilst international aid has been necessary, it has been politically ineffective in halting the capture and annexing of more and more Palestinian land. More Palestinians are removed from Jerusalem every day as violence upon violence is piled on the people of Palestine. This paper argues that this is unacceptable for the international family of higher education. It argues that universities around the world should take a political lead in response to the call from Palestinian and other peace workers to build the Boycott, Disinvestment and Sanctions movement in global civil society. This paper moves the position that history has built up to a point where justice for Palestine is now an undeniable global issue for people of conscience everywhere. The situation is such that universities cannot step back and leave it to politicians. Academics and students must speak out and take a lead in ending the day to day abuse of basic Palestinian rights.
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 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 | 0.005 | 0.006 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.025 | 0.016 |
| Scholarly communication | 0.018 | 0.005 |
| Open science | 0.001 | 0.008 |
| Research integrity | 0.004 | 0.005 |
| Insufficient payload (model declined to judge) | 0.010 | 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".