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Negotiating Inequality Among Adult Siblings: Two Case Studies

2007· article· en· W1974500544 on OpenAlexaff
Ingrid Arnet Connidis

Bibliographic record

VenueJournal of Marriage and the Family · 2007
Typearticle
Languageen
FieldSocial Sciences
TopicIntergenerational Family Dynamics and Caregiving
Canadian institutionsWestern University
Fundersnot available
KeywordsNegotiationSiblingAmbivalenceSibling relationshipSocioeconomic statusInequalityPerspective (graphical)Life course approachPsychologyDevelopmental psychologySocial psychologySociologyPopulationDemographySocial science

Abstract

fetched live from OpenAlex

Qualitative instrumental case study analysis of adult siblings from 2 families explores how socioeconomic inequality among them affects their relationships to one another. Eight middle‐aged siblings’ observations of childhood, parental expectations, work and family history, lifestyle, and current sibling ties indicate that childhood interdependence, parallel parental treatment, similar intergenerational mobility, greater success of the younger rather than older siblings, and economic success due to other than individual effort facilitate smoother negotiations of material inequality and enhance the negotiation of sibling relationships as important sources of support. These new insights on negotiating sibling ties over time are related to various forms of capital, a life course perspective, and ambivalence, and point to fresh avenues for future research and theory.

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)0.006
metaresearch head score (Gemma)0.011
Version: metacan-v3-hybrid-931329e0061cValidation 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 score0.020
Threshold uncertainty score0.041

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0060.011
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0010.002
Science and technology studies0.0090.004
Scholarly communication0.0020.002
Open science0.0020.005
Research integrity0.0030.003
Insufficient payload (model declined to judge)0.0030.000

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 head0.023
GPT teacher head0.346
Teacher spread0.323 · 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 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

Citations55
Published2007
Admission routes1
Has abstractyes

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