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Record W2340496508 · doi:10.1108/ejm-02-2015-0082

The evolving family assemblage: how senior families “do” family

2016· article· en· W2340496508 on OpenAlexaff
Aimee Dinnín Huff, June Cotte

Bibliographic record

VenueEuropean Journal of Marketing · 2016
Typearticle
Languageen
FieldSocial Sciences
TopicIntergenerational Family Dynamics and Caregiving
Canadian institutionsWestern University
Fundersnot available
KeywordsAssemblage (archaeology)OriginalityMateriality (auditing)SociologyValue (mathematics)Meaning (existential)Family lifeFunction (biology)PsychologyPublic relationsGender studiesSocial scienceQualitative researchGeographyAestheticsPolitical science

Abstract

fetched live from OpenAlex

Purpose A growing stream of consumer research has examined the intersection of family dynamics, consumption practices and the marketplace. The purpose of this paper is to make sense of the complex nature of family for senior families (adult children and their elderly parents) who employ the use of elder care services and facilities. Design/methodology/approach This research analyses data gathered from in-depth interviews with adult siblings and their elderly parents through the lens of assemblage theory. Findings This paper advances a conceptulisation of the family as an evolving assemblage of components, including individual members; material possessions and home(s); shared values, goals, memories and practices; prominent familial attributes of love and care; and marketplace resources. Three features of the assemblage come to the fore in senior families: the fluid meaning of independence for the elderly parent, the evolution of shared family practices and the trajectory of the assemblage that is a function of its history and future. Originality/value This research focuses on a stage of family life that has been under-theorised; applies assemblage theory to the family collective, demonstrating that a family can be conceptualised as an ever-evolving assemblage of human and non-human components, and this is a useful lens for understanding how senior families “do” family; and argues for a broader notion of family – one that is not household-centric or focused on families with young children, that encompasses members and materiality and that foregrounds the dynamic, evolving nature of family life.

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 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)0.021
metaresearch head score (Gemma)0.006
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesScience and technology studies
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.584
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0210.006
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.000
Scholarly communication0.0010.000
Open science0.0010.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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 head0.012
GPT teacher head0.246
Teacher spread0.234 · 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 teacher head, not a consensus.

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

Citations43
Published2016
Admission routes1
Has abstractyes

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