A bibliometric analysis on adolescent social anxiety and psychoeducational variables in Web of Science 2002–2021
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
The aim of this bibliometric analysis was to analyze the scientific output on adolescent social anxiety and its relationship with 15 psychoeducational variables in peer-reviewed journals during the period 2002–2021. The goal was to provide a comprehensive overview of the state of the art on adolescent social anxiety and academic/school achievement, performance, self-concept, self-esteem, self-efficacy, self-attributions, goals, attachment, adjustment, engagement, refusal, absenteeism, anxiety, learning strategies, and self-regulated learning. A search of scientific literature was conducted using Web of Science, and 157 empirical studies were identified. Analyses were conducted using bibliometrix 3.1 to avoid the risk of bias. The results suggested progressive growth in the scientific output on this research topic mainly in the USA, China, Spain, and Canada, and revealed trending issues and scientific interest regarding the relationship between adolescent social anxiety and academic/school achievement and performance. Other variables, such as academic/school attachment and self-regulated learning did not emerge. The results provide implications for practitioners (i.e., educators, clinical and educational psychologists, and psychiatrists), supporting emerging lines of research. Limitations include a lack of a review protocol and a lack of comparison with other international databases, such as PsychInfo, Scopus, PubMed, or ERIC.
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 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 | 0.004 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.038 | 0.108 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| 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