I Shall Not Hate: A Gaza Doctor's Journey on the Road to Peace and Human Dignity
Bibliographic record
Abstract
Heart-breaking, hopeful and horrifying, I Shall Not Hate is a Palestinian doctor's inspiring account of his extraordinary life, growing up in poverty but determined to treat his patients in Gaza and Israel regardless of their ethnic origin. A London University- and Harvard-trained Palestinian doctor who was born and raised in the Jabalia refugee camp in the Gaza Strip and 'who has devoted his life to medicine and reconciliation between Israelis and Palestinians' (New York Times), Abuelaish is an infertility specialist who lives in Gaza but works in Israel. On the strip of land he calls home (where 1.5 million Gazan refugees are crammed into a few square miles) the Gaza doctor has been crossing the lines in the sand that divide Israelis and Palestinians for most of his life - as a physician who treats patients on both sides of the line, as a humanitarian who sees the need for improved health and education for women as the way forward in the Middle East. And, most recently, as the father whose three daughters were killed by Israeli shells on 16 January 2009, during Israel's incursion into the Gaza Strip. It was his response to this tragedy that made news and won him humanitarian awards around the world. Instead of seeking revenge or sinking into hatred, Izzeldin Abuelaish called for the people in the region to start talking to each other. His deepest hope is that his daughters will be 'the last sacrifice on the road to peace between Palestinians and Israelis'.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot 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.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.004 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.001 | 0.004 |
| Insufficient payload (model declined to judge) | 0.003 | 0.003 |
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; both teacher heads agree on what is shown here.
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".