Supporting continued work under the UNCRPD – views of employees living with mild cognitive impairment or early onset dementia
Bibliographic record
Abstract
This article reports the results of a socio-legal investigation into how continued work among people living with progressive cognitive impairments such as mild cognitive impairment (MCI) or early onset dementia (EOD) can be supported. This study that makes use of empirical data collected in Finland, Sweden and Canada seeks to give voice to people living with MCI or EOD and set their experiential knowledge in dialogue with equality rights related tools provided by the UN Convention on the Rights of the Persons with Disabilities (UNCRPD). The results illustrate that there are effective tools available that remove barriers to participation and support continued work of employees living with cognitive impairments at least for some time while impairments are mild. Ideally, flexibility and solidarity in the workplace automatically eliminates the effects of individual impairment. However, cognitive impairments are often such that along with general accessibility measures individual accommodations are needed. Supporting continued work expands the freedom to continue meaningful work in the preferred manner and offers people the means to gain a livelihood and participate in society as a member of the work community on equal basis with others.
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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 | 0.008 | 0.015 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.010 | 0.008 |
| Scholarly communication | 0.005 | 0.002 |
| Open science | 0.001 | 0.006 |
| Research integrity | 0.002 | 0.003 |
| 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".