“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.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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 teacher head, 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".