Global Trends Research and Application of Green Chemistry and Education: A Bibliometric Analysis (1994–2023)
Bibliographic record
Abstract
In the field of education, it has also been implemented into the school curriculum. An assessment of how we analyze the current state and trends regarding research into the application of green chemistry and education by completing a thorough bibliometric study for the time period 1994–2023. Studies in this field focus on the language used in journal publications, the level of development, the author’s keywords that are most often used, the journals that are often used as quotations, the most productive journal authors, the journals that influence researchers the most, which institutions are most productive, and which countries who is most active in research in this field. In the analysis section regarding bibliometric mapping, a total of 509 automatically selected peer-reviewed journals were obtained from data in Scopus. The results of the research show that: (1) manuscripts written in journals use English, (2) the top point publications in 2019 and 2020 were 51 papers, (3) green chemistry and education are the most frequently used keywords, (4) the work of (K., Alfonsi, Colberg J., Dunn P.J., Fevig T., Jennings S., Johnson T.A., Kleine H.P., et al. 2008), (J.H., Clark. 1999) as well as (M., Tobiszewski, Marć M., Gałuszka A., and Namies̈nik J. 2015.) and (M., Tobiszewski, Marć M., Gałuszka A., and Namies̈nik J. 2015.) is the most frequently cited document, (5) Yin J.; Goh T.-T.; Yang B.; Xiaobin Y., Nikou S.A.; Economides A.A., and Dessì D.; Fenu G.; Marras M.; Reforgiato Recupero D. is the most important author, (6) Journal Green Chemistry, and Journal Sustainability Switzerland are among the best journals, (7) University of Toronto, Universität Bremen, and University of York are among the top journals, and (8) Canada and Germany are the most important countries.
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How this classification was reachedexpand
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 | Observational | high |
| gpt | Bibliometrics Domain: not available · Genre: Empirical About the Canadian research system: no · About a Canadian topic: no | Observational | 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 | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.032 |
| Science and technology studies | 0.000 | 0.000 |
| 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 itClassification
machine, unvalidatedLabeled directly by 2 models reading the full record.
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".