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.
Bibliographic record
Abstract
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.
Direct model labels (unvalidated)
Per-model category and study-design labels from the labeling rounds. They are machine output, unvalidated, and the disagreement between models ships as data. No study design here is MEDLINE-validated yet.
| Model arm | Categories | Study design | Confidence |
|---|---|---|---|
| gemma | Bibliometrics Domain: not available · Genre: Empirical About the Canadian research system: no · About a Canadian topic: no | Not applicable | low |
| gpt | Bibliometrics Domain: not available · Genre: Empirical About the Canadian research system: no · About a Canadian topic: no | Other design | high |
Full frame distilled prediction
Teacher imitationNot 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.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.006 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.135 | 0.431 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it