(Un) Natural Grief: Novelty, Tradition and Naturalization in Israeli Discourse on Posthumous Reproduction
Bibliographic record
Abstract
This article examines Israeli discourse on posthumous reproduction (PR) and the related cultural construction of "(un)natural" grief. Based mainly on an analysis of in-depth interviews with family members who submitted a request for PR, we examine the regimes of justification used by supporters and opponents of this technology. With both sides using the notion of "nature" to support their claim, the dispute centers on whether PR constructs a new social expression of grief (and hence should be seen as unnatural) or is only a reflection of an age-old grieving process (and is thus natural). We argue that by employing a twofold, novel/traditional justification, PR supporters aim to go one step further, from a symbolic continuity of the dead to a so-called real one. This progression highlights the flexibility of the natural category at the intersection of technology and culture and the abandonment of such binary distinctions as life/death and nature/culture.
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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 | 0.009 | 0.010 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.007 | 0.042 |
| Scholarly communication | 0.004 | 0.004 |
| Open science | 0.001 | 0.003 |
| 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".