‘I was there when she passed’: older widowers' narratives of the death of their wife
Bibliographic record
Abstract
ABSTRACT There is evidence that older widowed women provide narrative accounts of the events that led up to the deaths of their husbands. These accounts are qualitatively different from other parts of their interviews. This study examines interviews from older widowers and asks what features characterise their narrative accounts of their wife's death. The data show that men do speak of the death of their wife in a qualitatively different way than they do of other matters: women speak emotionally whilst men speak of their behaviour. Using Kirsi, Hervonen and Jylhä's typology of male care-givers, we find that their interviews are characterised by four types of speech: factual, agentic, familistic and destiny speech. In addition, we find two additional speech types related to blame – one related to medical negligence (a subset of destiny speech) and one to self-blame (a subset of familistic speech). We argue that the use of these patterns of speech allow men to preserve their masculine identities at a time when bereavement puts them under intense strain.
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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 | 0.001 | 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".