MétaCan
Menu
Back to cohort
Record W3201841394 · doi:10.1017/s0144686x21001525

Experiences of influencing one's own life when living with working-age dementia

2021· article· en· W3201841394 on OpenAlexafffund
Mervi Issakainen, Anna Mäki‐Petäjä‐Leinonen, Sirkkaliisa Heimonen, Ann‐Charlotte Nedlund, Arlene Astell, Jennifer Boger, Sari Rissanen, Louise Nygård

Bibliographic record

VenueAgeing and Society · 2021
Typearticle
Languageen
FieldHealth Professions
TopicGeriatric Care and Nursing Homes
Canadian institutionsUniversity of WaterlooUniversity of TorontoResearch Institute for AgingUniversity Health Network
FundersForskningsrådet om Hälsa, Arbetsliv och VälfärdAcademy of FinlandAlzheimer SocietyJoint Programming Initiative More Years, Better Lives
KeywordsDementiaDignityAutonomyStigma (botany)Focus groupEveryday lifePsychologyGerontologyRealisationMedicineSociologyPolitical sciencePsychiatryDisease

Abstract

fetched live from OpenAlex

Abstract Having opportunities to make decisions and choices regarding one's life is crucial when living with dementia. This inter-disciplinary study draws on the concept of relational autonomy to explore how working-age people living dementia seek to influence their lives, and what makes it easier or more difficult for them in their everyday life. The data consist of three focus group discussions conducted with 12 retired adults who developed dementia while still employed. The results illuminate various resources that enable a person to (a) handle their difficulties at work and related consequences with dignity, (b) manage everyday tasks and live a fulfilling life, and (c) fight the stigma associated with (working-age) dementia. Challenges related to these aspects reported by the participants reveal gaps and obstacles that impede the full realisation of the rights of people living with early onset dementia. This research highlights the need for workplace education for different stakeholders, equal and ongoing access to guidance and counselling for younger people who live with dementia, and an effort by society as a whole to eradicate stigma.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame distilled prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.043
Threshold uncertainty score0.487

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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.

Opus teacher head0.035
GPT teacher head0.315
Teacher spread0.281 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designQualitative
Domainnot available
GenreEmpirical

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".

Quick stats

Citations11
Published2021
Admission routes2
Has abstractyes

Explore more

Same venueAgeing and SocietySame topicGeriatric Care and Nursing HomesFrench-language works237,207