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The Intergenerational Continuity of Fathers' Absence in a Socioeconomically Disadvantaged Sample

2012· article· en· W2011965887 on OpenAlexaff
Erin Pougnet, Lisa A. Serbin, Dale M. Stack, Jane E. Ledingham, Alex E. Schwartzman

Bibliographic record

VenueJournal of Marriage and the Family · 2012
Typearticle
Languageen
FieldSocial Sciences
TopicFamily Dynamics and Relationships
Canadian institutionsUniversity of OttawaConcordia University
Fundersnot available
KeywordsDisadvantagedFragile Families and Child Wellbeing StudyDevelopmental psychologyPsychologyAggressionStructural equation modelingLongitudinal dataDemographySociology

Abstract

fetched live from OpenAlex

Fathers' absence is a pattern that shows intergenerational continuity, most notably within disadvantaged populations. The process whereby this pattern is repeated across generations is not well understood. Using data from the Concordia Longitudinal Risk Project, the authors investigated pathways between fathers' absence in 1 generation and the experience of fathers' absence by their children. The current sample included 386 socioeconomically at‐risk individuals across 2 waves of data collection: (a) when they were children and (b) when they were adults with their own children. Analyses based on structural equation modeling revealed that men whose fathers were absent when they were children were more likely to become absent fathers, and women whose fathers were absent when they were children were more likely to have children with absent partners. Indirect pathways between fathers' absence in 2 generations through aggression, education, and substance abuse were illustrated for women. These findings add to the literature suggesting that fathers' absence during childhood has intergenerational effects.

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)0.004
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.608
Threshold uncertainty score0.237

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0040.001
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 head0.015
GPT teacher head0.282
Teacher spread0.267 · 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 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

Citations34
Published2012
Admission routes1
Has abstractyes

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