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Record W1978146523

Equity Matters: Doing Fairness in the Context of Family Caregiving

2007· article· en· W1978146523 on OpenAlexaff
Margaret Hall, Bonnie Lashewicz, Gerald F. Manning, Norah Keating

Bibliographic record

VenueSSRN Electronic Journal · 2007
Typearticle
Languageen
FieldSocial Sciences
TopicIntergenerational Family Dynamics and Caregiving
Canadian institutionsUniversity of AlbertaUniversity of GuelphMacEwan UniversityThompson Rivers University
Fundersnot available
KeywordsEquity (law)SiblingPerspective (graphical)PsychologySocial psychologyMultidisciplinary approachContext (archaeology)SociologyDevelopmental psychologyPolitical scienceLawSocial science
DOInot available

Abstract

fetched live from OpenAlex

Although family scholars conceptualize care-giving in terms of networks of carers, little attention has been given to equity within these groups. Siblings comprise a prevalent care-giving network of members who feel responsible for parent care, expect to share these responsibilities with each other, and look to each other to evaluate the fairness of their sharing. In this paper, a multidisciplinary approach is used to examine sibling views of equity in relation to disputes over giving parent care and receiving parent assets. A literary perspective is offered through analysis of step-sibling tensions depicted in the novel Family Matters. Real life disputes among biological siblings that have been pursued through the courts are also examined. Issues arising from these examples are then analysed through the lens of legal doctrines of equity. Siblings evaluating fairness undertake careful comparisons of their respective relationships with parents in terms of biological links to parents and type and extent of influence in interactions with parents.

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)0.016
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: Qualitative · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.016
Threshold uncertainty score0.085

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0160.020
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0130.051
Scholarly communication0.0080.010
Open science0.0010.008
Research integrity0.0040.004
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 head0.015
GPT teacher head0.311
Teacher spread0.296 · 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

Citations1
Published2007
Admission routes1
Has abstractyes

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Same venueSSRN Electronic JournalSame topicIntergenerational Family Dynamics and CaregivingFrench-language works237,207