Bibliographic record
Abstract
Gideon Levy was once an army recruit and an aide to former Prime Minister Shimon Peres. He is now a veteran journalist who writes for Haaretz, Israeli's oldest daily newspaper. He said that he feels compelled to tell his fellow Israelis a story they don't like to hear about their country's brutal occupation in the occupied territories of the West Bank and in Gaza. "I was brought up as a typical Israeli, " he says, "but in the late 1980s I started to travel to a place a half hour from my home, a trip that most Israelis never make. I started to go into the occupied territories, our own dark backyard." Levy spoke recently in an Ottawa university auditorium while on a seven-city Canadian tour to promote his most recent book, The Punishment of Gaza. A group called Canadians for Justice and Peace in the Middle East sponsored the event. Levy said he was surprised that about 300 people attended his talk. "In Tel Aviv not this many people would show up to hear me, " he said. What follows here are quotes from Levy's half hour address, which he delivered entirely without notes: "I have never seen an occupation in which the occupier feels so good about himself and in which he also poses as the victim. "Israel is occupation-addicted. It wants more real estate. Israel holds 3.5 million Palestinians against their will in conditions that you cannot imagine and there is no way Israel will move without pressure or a push from the outside. "The Israelis are deeply convinced that seven billion people in the world are wrong, and that five million Israelis are right.
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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 | 0.003 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.008 | 0.005 |
| Open science | 0.002 | 0.004 |
| Research integrity | 0.003 | 0.003 |
| Insufficient payload (model declined to judge) | 0.902 | 0.868 |
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; the direct Gemma label and the distilled Codex classifier 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".