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Record W4388228629 · doi:10.17576/ebangi.2023.2004.02

A BIBLIOMETRIC ANALYSIS OF SINGLE MOTHERS

2023· article· en· W4388228629 on OpenAlexaboutno aff
Beatrice Lim, Salmah Topimin, Noor Fzlinda Fabeil, Haslinda Hasan

Bibliographic record

VenueJurnal e-Bangi/e-Bangi · 2023
Typearticle
Languageen
FieldSocial Sciences
TopicFamily Dynamics and Relationships
Canadian institutionsnot available
Fundersnot available
KeywordsRanking (information retrieval)BibliometricsSingle mothersWeb of scienceLibrary scienceSingle familySocial sciencePsychologyGeographySociologyPolitical scienceMEDLINEComputer scienceDevelopmental psychologyInformation retrieval

Abstract

fetched live from OpenAlex

In recent years, there has been an increasing amount of research on single mothers internationally. This article analyzes 1543 research papers on single mothers from Web of Science database using CiteSpace literature analysis software. The study found that research on single mothers covers 79 countries globally, forming a close and comprehensive cooperative network between them. The North American region, including the United States and Canada, is a core research force in the field of single mothers. The top 15 research institutions produced more than 30 papers each, with the University of California System ranking first with a total of 72 papers. The journal with the most publications was the Journal of Marriage and Family, with a total of 44 papers. There were 8 authors who published more than 10 papers, with Herbst CM having the most with 16 papers. The frequency of citations for research on single mothers has shown a significant increasing trend in recent years, with a total of 36,624 citations, an average of 23.74 citations per paper, and an h-index of 83. Through the analysis of clustering networks and high-frequency keywords, the research hotspot on single mothers mainly focuses on four aspects: the psychological health of single mothers, the economic and employment status of single mothers, the children of single mothers, and the social support of single mothers.

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)0.002
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesBibliometrics
Consensus categoriesBibliometrics
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.238
Threshold uncertainty score0.946

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.001
Bibliometrics0.0640.280
Science and technology studies0.0010.000
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 head0.054
GPT teacher head0.325
Teacher spread0.271 · 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; both teacher heads agree on what is shown here.

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

Citations1
Published2023
Admission routes1
Has abstractyes

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