“Post-Nakba, Post-Auschwitz Poetics”: Transcending Narratives of Affliction in Mahmoud Darwish’s and Yehuda Amichai’s Poetry
Bibliographic record
Abstract
Palestinians and Israelis are increasingly engaged in a “distasteful competition over who suffered most” (Polonsky and Michlic 2004, 9), producing nationalist discourses that hinge on the heroic sublimation of their victimhood. Mahmoud Darwish and Yehuda Amichai offer alternative (poetic) discourses that transcend historical and social zones of contestation to posit universal humanism as a viable ethical option in face of religious and political divides. The later poetry of Darwish and Amichai transcends the heroic glorification of victimhood into an assertion of the humanity of both enemy and victim; hence, deconstructing the mutually exclusive identity formation of “perpetrator” and “perpetrated” and acknowledging the universality of the human experience. This paper attempts to identify a resonance between Darwish and Amichai over challenging the binaries and exclusive claims generated by victim discourses, and the repercussion of such “political” and “aesthetic” stance.
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 | 0.003 | 0.003 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.013 | 0.029 |
| Scholarly communication | 0.006 | 0.004 |
| Open science | 0.001 | 0.004 |
| Research integrity | 0.002 | 0.003 |
| Insufficient payload (model declined to judge) | 0.002 | 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".