Voice of responsibility: Dahlia Ravikovitch's ‘<i>Egla</i>‘<i>Arufa</i>(Felled Heifer)
Bibliographic record
Abstract
In a cycle of poems, Sugeyot beyahadut bat zemanenu, “Issues in Contemporary Judaism,” Dahlia Ravikovitch protests against human suffering and fatalities that occur during war and conflicts of attrition involving Israel's indigenous peoples and contiguous populations. Among the poetry, ‘Egla ‘arufa, with its cryptic title and densely encoded contents, requires textual “demystification” for its central message to be heard. First, this article identifies the most crucial pair of Hebrew sources underlying this poem and discusses their intertextual influence and the transition between them for an enriched reading. Second, through textual analysis this study applies a postmodern literary poetic – a “hermeneutic lag” – to a unique dynamic in the dimensions of the writing. In general, I relate to selected poems by Dahlia Ravikovitch as self-portraits, and regard “Felled Heifer” as an abstract figuration of the voice of the speaker: the voice of responsibility.
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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 | 0.002 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.006 | 0.012 |
| Scholarly communication | 0.004 | 0.002 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.001 | 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".