Ambivalence in Later‐Life Family Networks: Beyond Intergenerational Dyads
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
In later life, changing conditions related to health, partnership, and economic status may trigger not only support but also conflict and ambivalence, with the consequent renegotiation of family ties. The aim of this study is to investigate both conflict and emotional support in the family networks of older adults, taking the research beyond the level of intergenerational dyads. We used a subsample of 563 elders (aged 65 years and older) from the Swiss Vivre/Leben/Vivere survey. Multiple correspondence analysis and in‐depth case studies were used to identify the key social conditions that relate to the prevalence of conflicted and supportive dyads in family networks. Findings showed that the balance of conflict and emotional support in older adults' family networks varied according to the composition of their family network as well as their age, health, income, and gender.
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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 | 0.002 | 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 it