Dear Omar, Dear Mira: Exploring Zionism Across the Ethnic Divide
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
Abstract: What happens to Zionism as an idea when it is encountered through the lens of attachment, loss, and interpersonal connection? This article uses a creative-nonfiction form and a dual autoethnographic lens to examine the question of Jewish Zionist longings and Palestinian memory through the heart and mind of two scholars: a Canadian Jew and a Palestinian American. Mira Sucharov, a professor of political science at Carleton University and a frequent public commentator on Middle East issues, writes to Omar M. Dajani, a former member of the Palestinian negotiating team's legal support unit, who is now a law professor at University of the Pacific's McGeorge School of Law, and Omar writes back. Their correspondence—set both in the present and in a recreated past—suggests avenues for a reexamination of identity and connection to place, and a rediscovery of relationality to one another.
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.
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) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.002 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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 it