Bibliographic record
Abstract
Inspired by the contrapuntal and relational critiques of Edward Said and Ella Shohat, this thesis conducts a comparative analysis of the literature and film of Arab Jews in order to deconstruct discourses on Jewish identity that privilege the dichotomies of Israel-diaspora and Arab-Jew. Sami Michael’s novel Refuge, Naim Kattan’s memoir Farewell, Babylon, Karin Albou’s film Little Jerusalem and b.h. Yael’s video documentary Fresh Blood: a Consideration of Belonging reveal the complexities and interconnections of Sephardic, Mizrahi and Arab Jewish experiences across multiple geographies that are often silenced under dominant Eurocentric, Ashkenazi or Zionist interpretations of Jewish history. Drawing from these texts, Jewish identity is explored through four philosophical themes: Jewish beginnings vs. origins, boundaries between Arab and Jew, the construction of Jewish identities in place and space, and, the concept of diaspora and the importance Jewish difference. As a double-diaspora, with the two poles of their identities seen as enemies in the ongoing conflict between Israel-Palestine, Arab Jews challenge the conception of a single Jewish nation, ethnicity, identity or culture. Jewishness can better be understood as a rhizome, a system without a centre and made of heterogeneous component, that is able to create, recreate and move through multiple territories, rather than ever settling in, or being confined to a single form that seeks to dominate over others. This dissertation contributes a unique theoretical reading of Jewish cultures in the plural, and includes an examination of lesser known Arab Jewish writing and experimental documentary in Canada in relation to Iraq, France and Israel.
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) | 0.001 | 0.000 |
| Bibliometrics | 0.003 | 0.002 |
| Science and technology studies | 0.013 | 0.010 |
| Scholarly communication | 0.007 | 0.004 |
| Open science | 0.001 | 0.004 |
| Research integrity | 0.002 | 0.002 |
| Insufficient payload (model declined to judge) | 0.006 | 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 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".