Revisiting<i>Widowhood in Later Life</i>: Changes in Patterns and Profiles, Advances in Research and Understanding
Bibliographic record
Abstract
This analysis reviews the ways in which both the experience of widowhood in old age and the nature of research on widowhood have changed since the publication of the book Widowhood in Later Life in 1991. Patterns of decline in widowhood in both its duration and incidence in later life are examined. Widowhood research has advanced conceptually by moving beyond understanding widowhood solely in terms of role loss. Life course perspectives, and concepts of multiple narratives and of resilience, have also contributed to the field. New methodologies, including prospective and longitudinal designs involving larger data sets, and more in-depth qualitative studies, have advanced our understanding of complexities and variations in widowhood. These include issues of gender and ethnocultural diversity, as well as the intersection of wealth, health, and class. This article also examines how patterns of labour force affiliation, social policy, and the changing nature of marriage shape widowhood in later life.
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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 | 0.003 | 0.006 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.004 | 0.006 |
| Science and technology studies | 0.003 | 0.005 |
| Scholarly communication | 0.005 | 0.008 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.001 | 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".