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Record W4313909470 · doi:10.1177/0192513x221150978

Single Motherhood and Stress in a Kenyan Slum: The Importance of Paternal and Kin Support

2023· article· en· W4313909470 on OpenAlexaff
Shelley Clark, Madeleine Henderson, Caroline W. Kabiru

Bibliographic record

VenueJournal of Family Issues · 2023
Typearticle
Languageen
FieldSocial Sciences
TopicIntergenerational Family Dynamics and Caregiving
Canadian institutionsMcGill University
Fundersnot available
KeywordsSingle mothersSocial supportSocioeconomic statusPsychologyMarital statusSlumDevelopmental psychologyKenyaChild supportFragile Families and Child Wellbeing StudyDemographySocial psychologySociologyPolitical sciencePopulation

Abstract

fetched live from OpenAlex

This study examines factors underlying single mothers’ stress in an African slum. Using survey data from 1,221 mothers in a Kenyan informal settlement, this study examines 1) whether single mothers experience more stress due to their demographic and socioeconomic characteristics; 2) whether financial and child care support from kin offsets limited support from fathers; and 3) whether variation in the type and source of support explains stress differentials across marital status. The results suggest that lower socioeconomic status does not explain single mothers’ elevated stress. Rather, despite receiving greater assistance with child care and financial support from kin, single mothers receive substantially less support of either kind from the child’s father. These differences in support, particularly financial assistance, account for single mothers’ elevated stress. These findings highlight the comparatively weak social support available for single mothers residing in precarious urban environments and its importance for their psychological well-being.

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)0.001
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: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.032
Threshold uncertainty score0.166

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
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 head0.027
GPT teacher head0.315
Teacher spread0.287 · 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

Citations3
Published2023
Admission routes1
Has abstractyes

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