Bibliographic record
Abstract
What follows are three reports by Terry Greenblatt, director of Israeli feminist peace organization, Bat Shalom; Arnneh Badran, acting director of Jerusalem Center for Women; and Penny Rosenwasser, Jewish American peace activist and recent participant in International Solidarity Movement's Freedom Summer Campaign. Although these women reside in different locations, all share a deep commitment to ending occupation, advocating for rights ofpalestinians, widelypublicizing human rights abuses, and furthering an inclusive dialogue for peace. This is truly remarkable work, given on-going escalation of violence inflicted daily on innocent people in region. What these women understand, but what media has failed to report (especially mainstream press in U.S.), is that women's groups are leading way-some might argue inventing way-for discussions ofpeace. As Terry Greenblatt points out, April 2002 joint declaration from Bat Shalom and Jerusalem Center for Women was the first joint anything in almost two years. Despite their courageous breakthrough, only women's and feminist magazines, journals, ande-mail publications have reported on such peace initiatives. Perhaps these reports will leave you feeling hopeful, as they did me, that important contributions feminist activists are making to peace under most dire conditions can be effective even in these seemingly hopeless times.
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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 | 0.004 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.026 | 0.012 |
| Scholarly communication | 0.006 | 0.002 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.002 | 0.004 |
| Insufficient payload (model declined to judge) | 0.007 | 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".