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Record W4411078392 · doi:10.1111/fare.70001

An integrative review of family supports as components of early childhood home visiting models

2025· article· en· W4411078392 on OpenAlexaff
Cinda Clark, Kallen R. Shaw, Patricia Snyder, Maureen A. Conroy, Helena P. Mawdsley

Bibliographic record

VenueFamily Relations · 2025
Typearticle
Languageen
FieldPsychology
TopicFamily and Disability Support Research
Canadian institutionsEducation and Early Childhood Development
Fundersnot available
KeywordsPsychologyDevelopmental psychologyEarly childhood

Abstract

fetched live from OpenAlex

ABSTRACT Objective We conducted an integrative review to identify family support categories that have been described as components of early childhood home visiting models in empirical research and to distinguish whether supports were formal or informal. Background Key components of most early childhood home visiting models include family supports intended to promote child and family outcomes. Categories of family support have been described in other extant literature: (a) material, (b) informational, (c) social–emotional, and (d) organizational. Family support has been further categorized as formal or informal. In this literature, informal supports have been characterized as more enduring and meaningful than formal ones. Method A systematic literature search was conducted. A total of 244 studies representing 127 early childhood home visiting models were located and coded. Results Formal informational supports were the most frequently reported family support category. Informal supports were reported much less frequently than formal supports. Conclusion Given the enduring impacts of informal family supports, home visiting models should include both informal and formal supports. Empirical studies should include descriptions of the types of family supports in home visiting models and more explicitly hypothesize linkages to intended outcomes. Implications Future work should include refining the definitions of support categories, distinguishing informal and formal supports, exploring interactions among supports, and understanding the functions of supports from the perspectives of families and home visitors.

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: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.572
Threshold uncertainty score0.795

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

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 head0.043
GPT teacher head0.380
Teacher spread0.337 · 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

Citations0
Published2025
Admission routes1
Has abstractyes

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