Sosyal Hizmet Alanında “Evsiz” Kavramını İçeren Araştırmaların VOSviewer ile Bibliyometrik Analizi
Bibliographic record
Abstract
The aim of this research is to make a bibliometric analysis of the articles including the concept of ‘homeless’ in the field of social work. Web of Science (WoS) was used as the database and VOSviewer was used as the data analysis program. The research dataset was created on 15.03.2024. A bibliometric analysis was conducted on 2710 articles within the WoS database, focusing on journals indexed in SSCI, SCI-Expanded, ESCI, and AHCI under the social work category. According to the results of the research, the first article containing the concept of homeless in the field of social work belongs to 1982. The countries with the highest number of publications and citations are the USA, Canada and the UK. The University of Toronto, the University of Denver and the University of Southern California are the institutions producing the most research on homelessness, while the most cited institutions are New York University, the University of Toronto and the University of Denver. These universities lead in homelessness research due to their high volume of published and cited authors. The three most published authors are Ferguson, Bender and Tsai, and the three most cited authors are Shinn, Ferguson and Culhane. Beyond “homelessness”, the most frequently used keywords are “mental health”, “housing”, “homeless youth”, “poverty” and “foster care”. Mental health in homeless people is related to housing support, severe mental illness, trauma, health and social care. The concept housing has strong associations with words such as family, youth homelessness, health, foster care and child welfare. The three most frequently referenced themes in articles are the difficulties experienced by the homeless (housing, mental health, substance abuse, poverty), homeless social groups (homeless children, homeless youth, homeless women) and services for the homeless (foster care, housing support, housing-first, shelter). In the last decade, there has been an increase in interest in foster care services for homeless people (shelter, staircase model and housing-first).
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 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 | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.003 | 0.002 |
| Bibliometrics | 0.004 | 0.002 |
| Science and technology studies | 0.004 | 0.006 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.002 | 0.001 |
| Research integrity | 0.001 | 0.003 |
| Insufficient payload (model declined to judge) | 0.008 | 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 itClassification
machine, unvalidatedMachine predicted; both teacher heads agree on what is shown here.
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".