Theoretical and philosophical assumptions behind the concept of anticipatory grief
Bibliographic record
Abstract
Anticipatory grief is a concept commonly used by researchers and clinicians when talking about the experience before the death of a loved one. This article offers a critical perspective on the disciplinary, theoretical and philosophical foundations of three distinct and frequently used conceptualisations of anticipatory grief: Lindemann's, Rando's and one derived from sociology. Lindemann's perspective conceived anticipatory grief as an inevitable component of the grieving experience in the situation of impending death. Rando's perspective views anticipatory grief as a multidimensional experience that facilitates post-mortem mourning. The third perspective, offered by sociologists, defines anticipatory grief as an experience highly influenced by the social context of the individual. This review explains how these different perspectives influence research and concludes with a reflection for potential future research.
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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 | 0.015 | 0.017 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.004 | 0.003 |
| Science and technology studies | 0.004 | 0.078 |
| Scholarly communication | 0.007 | 0.011 |
| Open science | 0.003 | 0.005 |
| Research integrity | 0.006 | 0.013 |
| Insufficient payload (model declined to judge) | 0.002 | 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".