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Record W2267455731

Care For Life: Private Care Agreements Between Older Adults and Friends or Family Members

2006· article· en· W2267455731 on OpenAlexaff
Margaret Hall

Bibliographic record

VenueSSRN Electronic Journal · 2006
Typearticle
Languageen
FieldSocial Sciences
TopicLegal principles and applications
Canadian institutionsThompson Rivers University
Fundersnot available
KeywordsCompensation (psychology)PhenomenonPsychologyFace (sociological concept)Interpersonal relationshipUnintended consequencesNursingSocial psychologyMedicinePolitical scienceSociologyLaw
DOInot available

Abstract

fetched live from OpenAlex

A care agreement involves the conveyance of property (typically the family home) by an older adult to a trusted person - perhaps an adult child or other relative, perhaps a friend of neighbour - in exchange for a promose of lifetime care. Care agreements, on their face, may have real attractions for older adults who wish to stay in the family home and to meet increasing needs for care and companionship through compensation to an intimate as opposed to a professional stranger. Fear of institutional care (the nursing home) is a major motivation. Despite this superficial attraction, however,serious negative consequences may arise, especially where the agreement is informal and vague in terms (as is very often the case). This article describes the phenomenon of the care agreement, its pitfalls, and the role of the law in providing fair remedy and preventing unintended negative consequences.

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)0.011
metaresearch head score (Gemma)0.020
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.015
Threshold uncertainty score0.058

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0110.020
Meta-epidemiology (narrow)0.0000.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0010.001
Science and technology studies0.0110.026
Scholarly communication0.0060.010
Open science0.0020.008
Research integrity0.0150.008
Insufficient payload (model declined to judge)0.0070.001

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 head0.010
GPT teacher head0.291
Teacher spread0.280 · 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 designNot applicable
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

Citations19
Published2006
Admission routes1
Has abstractyes

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