Reconstructing the Temporal-Relational Context: Trans-Action Patterns of Caregivers of an Ill Relative with Alzheimer's Disease
Bibliographic record
Abstract
The evolution of a social model of care has been accelerated by a range of factors such as new technology, a change in political parties, and lobbying activity. Further complicating the emergence of the new paradigm is the fact that providing effective care within the community requires an understanding of the context that surrounds the family and the ill person, who must often cope with illnesses that require specialized services and the caring for another person's basic human needs. Using the relational sociology perspective, this study aims to better understand the care trajectory of caregivers of people with Alzheimer's disease. We have adopted a methodologically innovative approach that explores two life histories from the viewpoint of social networks, social representations and action sequences. Only once researchers and policy-makers better understand help-seeking processes in the unpredictable context of chronic illness and social life, can they hope to develop social policies adapted to a population whose multiple needs require long-term community care.
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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 | 0.002 | 0.008 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.003 | 0.002 |
| Scholarly communication | 0.002 | 0.002 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.001 | 0.001 |
| 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".