Situating support for people living with rarer forms of dementia
Bibliographic record
Abstract
BACKGROUND: Awareness of a multitude of diseases that can cause neurodegenerative decline and their unique symptom profiles in the dementia care and support sectors remains limited. Obtaining an accurate diagnosis and post-diagnostic care and support is a challenge for many people and their families. As part of a larger study examining multi-component forms of support for people living with rarer dementias, the aim of this present study was to examine how rare dementia was situated within the complex social groupings, their organization and embedded discursive constructions that broadly form dementia care and support delivery. METHODS: Adopting a situational analysis approach, we undertook an examination of public documents and organizational websites within the support sector for people living with dementia in Canada, England, and Wales. We also surveyed professionals to further explore the situation at the point of care and support delivery. Consistent with our approach, data collection and analysis occurred concurrently including the development of a series of analytic maps. RESULTS: Recognizing the complexities within the situation, our findings provided new insights on the situated structures for support action and the discursive representations that illuminate both the limitations of the current support landscape and possibilities for a more flexible and tailored rare dementia support. Alongside, the predominant universal versus tailored support positionings within our data reinforced the complexity from which a promising new social space for people living with rarer dementias is being cultivated. CONCLUSIONS: The social worlds engaged in supportive action with people living with rare dementia are less visible within the shadow of a universally constructed dementia support milieu and appear to be negotiated within this powerful arena. However, their evolving organization and discursive constructions point to an emerging new social space for people living with rarer conditions.
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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 | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| 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 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".