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Finding the balance: Living with memory loss

2005· article· en· W2140629633 on OpenAlexfundno aff
Jean Gilmour, Annette Huntington

Bibliographic record

VenueInternational Journal of Nursing Practice · 2005
Typearticle
Languageen
FieldMedicine
TopicDementia and Cognitive Impairment Research
Canadian institutionsnot available
FundersAlzheimer Society
KeywordsDementiaCoping (psychology)Thematic analysisPsychologyAnxietyQualitative researchMemory problemsGerontologyClinical psychologyMedicinePsychiatryDiseaseSociology

Abstract

fetched live from OpenAlex

Since the late 1980s, it has been increasingly recognized that the experiences of people with dementia have been omitted from research in the area of dementia and memory loss. More recently, it has been accepted that people with dementia have insight into their condition and, therefore, the ability to contribute to research. A qualitative research project was undertaken with nine participants to explore the experiences and coping strategies of people with dementia. Interviews were undertaken and the data analysed using thematic analysis. Three major themes emerged: coming to terms with memory loss, maintaining control and independence, and the impact of illness on relationships. Understanding the reality for people is essential given that representations of the catastrophic impact of dementia generate high levels of anxiety and depression. Implications for nurses' practice include the need for skilled, well-paced, sensitive and ongoing information about the condition, along with the need to recognize and support the active coping strategies of people with memory loss.

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)0.003
metaresearch head score (Gemma)0.009
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.006
Threshold uncertainty score0.018

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0030.009
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.001
Science and technology studies0.0060.006
Scholarly communication0.0030.005
Open science0.0010.005
Research integrity0.0020.003
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 head0.030
GPT teacher head0.412
Teacher spread0.382 · 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 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

Citations39
Published2005
Admission routes1
Has abstractyes

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