MétaCan
Menu
Back to cohort
Record W2599835632 · doi:10.3138/jcfs.43.6.787

On The Role of the Extended Family in Helping to Pay for the Household Expenses of Unmarried Older Women (60+) in Latin Anerica and the Caribbean

2012· article· en· W2599835632 on OpenAlexvenueno aff
Susan De Vos

Bibliographic record

VenueJournal of Comparative Family Studies · 2012
Typearticle
Languageen
FieldSocial Sciences
TopicIntergenerational Family Dynamics and Caregiving
Canadian institutionsnot available
Fundersnot available
KeywordsLatin AmericansSocioeconomicsGeographyEconomic growthDemographyBusinessGerontologySociologyEconomicsPolitical scienceMedicine

Abstract

fetched live from OpenAlex

This study helps document the important role of extended family living-considered in terms of both coresidence and child proximity-in helping to predict assistance with paying household expenses among elderly unmarried women in seven Latin American and Caribbean cities: Bridgetown, Buenos Aires, Havana, Mexico City, Montevideo, Santiago (Chile) and Sao Paulo. It also looks into the idea that economic need helps predict family assistance to elderly unmarried women. Data come from special, comparable, surveys of elders aged 60 and over gathered in 2000. Using binomial logistic regression, study findings are consistent with the notion that extended family living is important for receiving help with basic household expenses among unmarried elderly women. However, study findings do not support the notion that economic need fosters help with household expenses among unmarried elderly women. While the effect of extended family living tended to be similar across the different urban areas, extended family living also had the additional quality of explaining the differences in the proportion of unmarried elderly women receiving help with paying household expenses in Buenos Aires, Montevideo, Havana and Sao Paulo. However, the proportion remained low in Bridgetown and high in both Mexico City and Santiago.

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)0.002
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: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.355
Threshold uncertainty score0.306

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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 head0.065
GPT teacher head0.337
Teacher spread0.272 · 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

Citations8
Published2012
Admission routes1
Has abstractyes

Explore more

Same venueJournal of Comparative Family StudiesSame topicIntergenerational Family Dynamics and CaregivingFrench-language works237,207