Landmark Articles From Volumes 31-40 / Des articles-jalons tirés des volumes 31 à 40 - Learning to Live With Early Dementia
Bibliographic record
Abstract
Much of the literature on early dementia is focused on caregiver perspectives, while little is known about the perspective of persons with early-stage dementia such as what it is like to live with this syndrome. This study was conducted to explore the process of learning to live with early-stage dementia. Interviews were conducted with 6 early-stage participants (3 men and 3 women) ranging in age from 61 to 79 years. Theory construction was facilitated using a qualitative approach and grounded theory. A preliminary theoretical framework was developed from the data which outlines a 5-stage process of learning to live with dementia that begins with various antecedents and proceeds through the stages of anticipation, appearance, assimilation, and acceptance. This process evolved as participants' awareness of themselves and their outer world changed. Ultimately, the findings of this study have several implications for clinicians and researchers working with persons in early-stage dementia.
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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 | 0.007 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.006 | 0.005 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.004 | 0.003 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.002 | 0.002 |
| Insufficient payload (model declined to judge) | 0.153 | 0.046 |
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".