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Record W2187470130 · doi:10.4256/mio.2010.0029

Reconstructing the Temporal-Relational Context: Trans-Action Patterns of Caregivers of an Ill Relative with Alzheimer's Disease

2011· article· en· W2187470130 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueMethodological Innovations Online · 2011
Typearticle
Languageen
FieldPsychology
TopicSocial Representations and Identity
Canadian institutionsUniversité de Montréal
Fundersnot available
KeywordsAction (physics)Context (archaeology)Perspective (graphical)SociologyPopulationSocial environmentDiseasePublic relationsPsychologySocial psychologyMedicineSocial sciencePolitical scienceComputer science

Abstract

fetched live from OpenAlex

The evolution of a social model of care has been accelerated by a range of factors such as new technology, a change in political parties, and lobbying activity. Further complicating the emergence of the new paradigm is the fact that providing effective care within the community requires an understanding of the context that surrounds the family and the ill person, who must often cope with illnesses that require specialized services and the caring for another person's basic human needs. Using the relational sociology perspective, this study aims to better understand the care trajectory of caregivers of people with Alzheimer's disease. We have adopted a methodologically innovative approach that explores two life histories from the viewpoint of social networks, social representations and action sequences. Only once researchers and policy-makers better understand help-seeking processes in the unpredictable context of chronic illness and social life, can they hope to develop social policies adapted to a population whose multiple needs require long-term community care.

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.

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 categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.260
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

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 head0.501
GPT teacher head0.463
Teacher spread0.038 · 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