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Record W2614098981 · doi:10.3138/jcfs.46.4.517

Normative, Structural, and Individual Factors that Predispose Adult Children to Provide Social Support to Their Elderly Parents

2015· article· en· W2614098981 on OpenAlexvenueno aff
M. Soledad Herrera

Bibliographic record

VenueJournal of Comparative Family Studies · 2015
Typearticle
Languageen
FieldSocial Sciences
TopicIntergenerational Family Dynamics and Caregiving
Canadian institutionsnot available
Fundersnot available
KeywordsObligationReciprocity (cultural anthropology)NormativePsychologyNorm of reciprocitySocial psychologyDevelopmental psychologyLogistic regressionNorm (philosophy)Social supportSocial exchange theoryReciprocalSociologyMedicinePolitical science

Abstract

fetched live from OpenAlex

This study is based on a face-to-face survey, conducted in 2009, with a representative sample of adults who were aged 45 years or above, living in the urban area of Santiago, Chile. This survey examined the exchange network between adults and their elderly parents, focusing on two of the main explanatory approaches to supportive family interrelations. That is, the norms of filial obligation and reciprocity. The article also investigates factors associated with the structure of needs and opportunities, as well as the family structures of the adult children and their parents. By estimating logistic regression models with cluster-robust standard errors the reciprocity norm is found to be significant, whereas that for filial obligation is not. The estimated models show that receiving support from the parent is one of the main factors that predisposes the adult child to the provision of parental support. That is, such action is favored by incorporation in a network of reciprocal exchanges. Thus, intergenerational ties work in two directions: parents request help from their children but also give them help. The norm of filial obligation, on the other hand, is only significant in the case of women.

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)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation 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 score0.319
Threshold uncertainty score0.631

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0010.000
Scholarly communication0.0000.001
Open science0.0000.000
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 head0.114
GPT teacher head0.370
Teacher spread0.256 · 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.

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

Citations19
Published2015
Admission routes1
Has abstractyes

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