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Record W2288783192 · doi:10.3138/jcfs.42.5.687

Social Perceptions of Siblings’ Sexual Composition: Evidence from Portuguese Youth

2011· article· en· W2288783192 on OpenAlexvenueno aff
Margarida Barroso

Bibliographic record

VenueJournal of Comparative Family Studies · 2011
Typearticle
Languageen
FieldSocial Sciences
TopicIntergenerational Family Dynamics and Caregiving
Canadian institutionsnot available
Fundersnot available
KeywordsSiblingPortugueseDifferential treatmentDevelopmental psychologyPsychologyBirth orderSocial psychologyPerceptionDemographyPopulationSociology

Abstract

fetched live from OpenAlex

This paper explores sibling relationships among Portuguese youth, focusing on the importance of gender and sibling sexual composition in three specific analytical domains: (a) the social meanings and perceptions of sibling relationships and their impact on daily life practices; (b) parents’ differential treatment of sons and daughters and its implication for the well-being of brothers and sisters within the sibling group, and; (c) the gender determinants of care-giving for elderly parents. The study is based on focus groups and semi-structured interviews involving 47 Portuguese men and women, with an average age of 24 years. The results show that gender relations and the sexual composition of siblings have a significant impact on sibling relationships. Same-sex siblings are perceived as having more harmonious and cooperative relationships than mixed-sex siblings, regardless of age and birth order. Parents’ differential treatment of sons and daughters, whether it reproduces or deconstructs traditional gender roles, influences the well-being of youths and affects the way brothers and sisters envisage how care-giving tasks for elderly parents will be shared. Most youths envisage an egalitarian distribution of care-giving, although sisters are still regarded as the main care providers.

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)0.002
metaresearch head score (Gemma)0.006
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 score0.031
Threshold uncertainty score0.062

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.006
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0010.001
Scholarly communication0.0010.001
Open science0.0000.001
Research integrity0.0000.000
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 head0.268
GPT teacher head0.417
Teacher spread0.149 · 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

Citations7
Published2011
Admission routes1
Has abstractyes

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