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Record W4413025037 · doi:10.1177/13872877251364558

Navigating life after diagnosis: Insights from people with early-stage dementia

2025· article· en· W4413025037 on OpenAlexaff
Aderonke Agboji

Bibliographic record

VenueJournal of Alzheimer s Disease · 2025
Typearticle
Languageen
FieldPsychology
TopicNostalgia and Consumer Behavior
Canadian institutionsQuest University CanadaUniversity of Northern British Columbia
Fundersnot available
KeywordsSocioemotional selectivity theoryDementiaPsychologyCoping (psychology)Psychological resilienceAgency (philosophy)Identity (music)FlourishingCognitionAdaptation (eye)Developmental psychologyDiseaseCognitive psychologyPsychotherapistMedicineSociologyPsychiatryAestheticsNeuroscience

Abstract

fetched live from OpenAlex

Receiving an Alzheimer's disease (AD) diagnosis is widely understood as a life-changing event, that is, one that challenges not only memory and cognition but one's sense of identity and agency. By centering the voices of those affected and aligning findings with socioemotional selectivity and continuity theories, the study by Gamm et al. offers valuable insights into individualized care strategies and the importance of emotional resilience and identity preservation in early-stage AD. This commentary situates the study within the broader landscape of dementia care, highlighting its clinical implications for supporting agency, emotional well-being, and identity preservation. It also aims to critically reflect on how coping responses are interpreted in the original study and to advocate for a more nuanced understanding of emotional adaptation in early-stage 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 machine prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.004
metaresearch head score (Gemma)0.007
Version: metacan-v3-hybrid-931329e0061cValidation 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 score0.013
Threshold uncertainty score0.025

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0040.007
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0010.002
Science and technology studies0.0070.005
Scholarly communication0.0050.005
Open science0.0010.005
Research integrity0.0030.006
Insufficient payload (model declined to judge)0.0020.000

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 head0.016
GPT teacher head0.308
Teacher spread0.292 · 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 source (direct Gemma or distilled Codex), 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

Citations0
Published2025
Admission routes1
Has abstractyes

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