“I could have”: The lived experience of bereavement-related regret
Bibliographic record
Abstract
Bereavement-related regret addresses the experience of the "I could have" in a grief context surrounding a deceased loved one. This "I could have" notion of regret emerges from interaction of the "I can" of the past and the "I cannot" of the present. This study aimed to understand six participants' lived experiences of bereavement-related regret through a qualitative, semi- structured interview and two-chair exercise. Hermeneutic phenomenological analysis revealed key features of bereavement-related regret as: (a) tangible and sensed embodiment, (b) an active entity that requests engagement, (c) a permanent yet dynamic presence, (d) a complex network connecting to other people, memories, and feelings, and (e) a dialogical phenomenon revealed between interaction of one's present self and past self. This study demonstrates the promise of a novel method for exploring dialogical phenomena and an expansive understanding of regret as an inherently relational, dynamic invitation to attend to and express our values.
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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 | 0.005 | 0.010 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.006 | 0.011 |
| Scholarly communication | 0.004 | 0.004 |
| Open science | 0.001 | 0.008 |
| Research integrity | 0.001 | 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".