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Record W1521105177 · doi:10.3138/jcfs.37.4.511

Changes and Inequality in Latin American Families

2006· article· en· W1521105177 on OpenAlexvenueno aff
Irma Arriagada

Bibliographic record

VenueJournal of Comparative Family Studies · 2006
Typearticle
Languageen
FieldSocial Sciences
TopicGlobalization and Cultural Identity
Canadian institutionsnot available
Fundersnot available
KeywordsLatin AmericansInequalityModernization theoryContext (archaeology)Social inequalityDevelopment economicsPoliticsSociologyDiversity (politics)InstitutionEconomic growthDemographic economicsPolitical scienceGender studiesGeographyEconomicsSocial science

Abstract

fetched live from OpenAlex

The purpose of this paper is to shed light on the changes that have affected a key institution in people’s lives -family-and to set those changes in a wider context. It aims to describe processes of modernization and modernity and their effects on families, by providing a diagnostic study highlighting the diversity of families in Latin America and changes that have affected them in different socio-economic strata. While drawing attention to heterogeneous structures and increasing economic inequality among families, this study also highlights various types of a cultural change family has been confronted with, including demographic shifts, growing number of households headed by women, and women’s increasing participation both in labour market as well as in social and political domains.$$Inequality, Changes, Family in Latin America.

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)0.001
metaresearch head score (Gemma)0.003
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.075
Threshold uncertainty score0.148

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.003
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.002
Science and technology studies0.0040.002
Scholarly communication0.0020.001
Open science0.0000.003
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0040.000

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 head0.133
GPT teacher head0.418
Teacher spread0.285 · 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 designObservational
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

Citations18
Published2006
Admission routes1
Has abstractyes

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