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Record W4416008068 · doi:10.1080/01494929.2025.2559707

<i>The Strengths of Black Families</i> : Family Support, Fictive Kinship, and Congregation-Based Social Support Networks

2025· article· en· W4416008068 on OpenAlex
Linda M. Chatters, Robert Joseph Taylor, Kazumi Tsuchiya

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueMarriage & Family Review · 2025
Typearticle
Languageen
FieldSocial Sciences
TopicIntergenerational Family Dynamics and Caregiving
Canadian institutionsUniversity of Toronto
FundersNational Institute of Diabetes and Digestive and Kidney DiseasesNational Institute on Aging
KeywordsSocial supportField (mathematics)Social relationSocial network (sociolinguistics)Affect (linguistics)

Abstract

fetched live from OpenAlex

This article provides a selected review of research literature on Black American families using Robert B. Hill’s classic book, The Strengths of Black Families. Hill’s framework identified several basic tenets for understanding Black family life, including (1) the importance of socio-historical context for understanding family development, (2) recognizing sociodemographic diversity within the Black population, and (3) promoting strengths-focused approaches in research and practice. Our selective review of research on extended family social support, fictive kin relationships, and congregation-based social support networks among Black Americans embodies these tenets. A portion of this research is based on nationally representative samples that reflect the sociodemographic diversity within the Black American population. Collectively, this work effectively demonstrates how advances in theory, methods, and data analytic approaches have contributed to research and scholarship that support Robert Hill’s vision of meaningful research about and for Black American families.

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.

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)0.002
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: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.808
Threshold uncertainty score0.903

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.001
Science and technology studies0.0010.001
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 head0.011
GPT teacher head0.296
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