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Record W1960747976 · doi:10.1108/qaoa-10-2014-0026

Critical reflections from the millennials on the global action against dementia legacy events

2015· article· en· W1960747976 on OpenAlexaffabout
Kristine Newman, Laura Booi

Bibliographic record

VenueQuality in Ageing and Older Adults · 2015
Typearticle
Languageen
FieldPsychology
TopicAging and Gerontology Research
Canadian institutionsSimon Fraser UniversityToronto Metropolitan University
Fundersnot available
KeywordsDementiaAction (physics)Context (archaeology)OriginalityValue (mathematics)Critical reflectionAction researchSociologyPsychologyPublic relationsGerontologyPolitical scienceMedicineSocial scienceHistoryQualitative researchPedagogyComputer scienceDisease

Abstract

fetched live from OpenAlex

Purpose – The purpose of this paper is to share information regarding the Global Action Against Dementia Legacy, to critically reflect on the views of the Canadian Young Leaders of Dementia and to strengthen the impact of their voices in the global discussion surrounding dementia. Design/methodology/approach – This offers a critical reflection and review of the innovative intergenerational discussions and solutions offered by younger Canadians – specifically, the Millennial Generation. Findings – The paper provides insights about how change and solutions in dementia actions may be established through intergenerational collaboration. Research limitations/implications – Researchers are encouraged to make room for the voices of younger, less established generations in both discussions and research related to dementia. The younger generations will provide future direction to the Global Action Against Dementia Legacy so it is time to hear their voice too. Originality/value – This paper draws on developments in the Canadian context to highlight the potential of encouraging a less-usual, intergenerational approach to developing engagement, research and solutions in dementia.

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)0.001
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.364
Threshold uncertainty score0.975

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
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 head0.216
GPT teacher head0.493
Teacher spread0.277 · 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 designObservational
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

Citations3
Published2015
Admission routes2
Has abstractyes

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