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Record W2031675882 · doi:10.1177/1471301214527750

Information and care: A relational approach

2014· article· en· W2031675882 on OpenAlexfundno aff
Marian Barnes, Flis Henwood, Naomi Smith

Bibliographic record

VenueDementia · 2014
Typearticle
Languageen
FieldMedicine
TopicDementia and Cognitive Impairment Research
Canadian institutionsnot available
FundersAlzheimer Society
KeywordsCompetence (human resources)Context (archaeology)Thematic analysisScholarshipPsychologyInformation needsNarrativeDementiaNursingMedicineSocial psychologySociologyQualitative researchDiseasePolitical science

Abstract

fetched live from OpenAlex

This article explores how the provision of information about dementia impacts on carers and the caring relationships in which they are involved. Narrative interviews were undertaken with 25 carers who had undertaken the Alzheimer's Society - run Carer Information and Support Programme in one of seven sites across London and the South East. Thematic analysis identified two major themes relating to the impact of information on carer and caring relationships ('understanding and care' and 'emotional impact of information'), and another theme relating to the context within which the information was provided and shared ('relational practices in information-giving and receiving'). Findings suggest that while information, particularly in the form of new knowledge about how dementia progresses, helps to improve understanding and increase confidence, competence and a sense of security and achievement in caring practices, it can also confound and complicate caring practices in ways that reflect and reinforce previously difficult relationships. Providing information in the context of carers' support was important for most participants but others were less able to benefit from this, especially where they felt unrecognised or where the timing of information felt inappropriate to their needs. Our analysis complements and extends previous scholarship emphasising the relational nature of care by showing how information can both enhance and complicate care relationships, depending on both specific care contexts and on how carers experience the context of information provision.

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)0.010
metaresearch head score (Gemma)0.011
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: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.015
Threshold uncertainty score0.085

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0100.011
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0050.005
Science and technology studies0.0080.028
Scholarly communication0.0150.018
Open science0.0030.010
Research integrity0.0030.003
Insufficient payload (model declined to judge)0.0060.001

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 head0.012
GPT teacher head0.260
Teacher spread0.248 · 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

Citations38
Published2014
Admission routes1
Has abstractyes

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