Bibliographic record
Abstract
Umbilical Discord is a collection of poetry that incorporates English translations of testimonies by elder Palestinian women who have witnessed and survived the ongoing Nakba (“Catastrophe” in Arabic) of 1948. Excerpts of these accounts, retrieved from the Zochrot website, visually interlace with the voice of a narrator living in the Palestinian diaspora. The form in Umbilical Discord establishes a constant tension, where the left-justified narrator voice and the indented testimony excerpts are always in relation to each other, and the shifts enact dynamics of distance and proximity, of individual experience and collective trauma. This form allows for multiple layers of narrative to emerge, where each column of text may be read separately (from top to bottom) or together (from left to right). The narrator, whose grandparents fled from Safad, Palestine to Damascus, Syria in 1948, was born in Yarmouk Camp in Damascus and has been living in Canada for most of her life. Disconnected from Palestine, the narrator explores her own diasporic Palestinian identity through interrogating, reacting to, and juxtaposing her own experiences (or those of her family members) with the testimony excerpts. Thus, the poems express Marianne Hirsch’s notion of “postmemory” where traumatic experiences pass down generationally, deeply affecting later generations that have not experienced the traumatic events first-hand. A collection of fragmentary, interweaving stories, Umbilical Discord is an example of what may come out of the tensions between the collective, national Palestinian framework and subjective, individual experience, where fragmentation is a source of pain but also a means of creating a network of solidarity in decolonial efforts.
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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 | 0.006 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.005 | 0.004 |
| Scholarly communication | 0.004 | 0.003 |
| Open science | 0.001 | 0.004 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.020 | 0.005 |
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".