Doing dementia differently: A range of co-produced resources from the IDEAL programme
Bibliographic record
Abstract
This article introduces different free resources for people with dementia, carers and professionals working within dementia care. All were produced as part of the IDEAL research programme, drawing on the wealth of evidence created as part of this large cohort longitudinal study. Explaining the background, the creation process and where to find each resource, the article directs readers towards resources readily available for use, as well as information about forthcoming resources. Four ready-to-use resources are described in detail. The Living with Dementia Toolkit is a comprehensive suite of resources for people with dementia and carers. It also features lots of different people with dementia and carers sharing their stories in their own words. The Toolkit is being widely used in NHS and third-sector settings, as well as by community groups. My Life Questionnaire is a new measure of living well which was co-produced with people living with mild-to-moderate dementia and scientifically validated with the IDEAL cohort. ‘The World Turned Upside Down’ began as a play and became a documentary film which can be used to raise awareness, promote discussion and within educational or continuing professional development settings. ‘The Bridge’ is an opera about the experience of living with dementia through the diagnostic process and how a husband and wife manage following diagnosis. Both artistic productions involved people with lived experience advising the performers on how to portray dementia authentically.
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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 | 0.020 | 0.036 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.005 | 0.003 |
| Science and technology studies | 0.006 | 0.005 |
| Scholarly communication | 0.009 | 0.007 |
| Open science | 0.003 | 0.021 |
| Research integrity | 0.002 | 0.003 |
| Insufficient payload (model declined to judge) | 0.015 | 0.003 |
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".