Applying Bibliometrics and a RoBERTa Transformer in the Circular Bioeconomy: A PRISMA 2020 Systematic Review
This exploratory methodological study demonstrates an integrated workflow that combines systematic evidence collection Preferred Reporting Items for Systematic reviews and Meta-Analyses (PRISMA 2020), bibliometric mapping, and Transformer-based natural language processing (RoBERTa) to generate multi...
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| Formato: | Artículo de revisión |
| Lenguaje: | inglés |
| Publicado: |
2026
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| Acceso en línea: | Enlace permanente (DOI o Handle) |
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| _version_ | 1881700504653791232 |
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| author | Gary Christiam Farfán Chilicaus Alexander Fernando Haro-Sarango Angela Fremiot Rodriguez-Armas César Augusto Herrera-Asmat Silvia Cachay-Salcedo Rosa Amable Salcedo-Davalos Violeta Claros Aguilar De Larrea Emma Verónica Ramos Farroñán |
| author_browse | Alexander Fernando Haro-Sarango Angela Fremiot Rodriguez-Armas César Augusto Herrera-Asmat Emma Verónica Ramos Farroñán Gary Christiam Farfán Chilicaus Rosa Amable Salcedo-Davalos Silvia Cachay-Salcedo Violeta Claros Aguilar De Larrea |
| author_facet | Gary Christiam Farfán Chilicaus Alexander Fernando Haro-Sarango Angela Fremiot Rodriguez-Armas César Augusto Herrera-Asmat Silvia Cachay-Salcedo Rosa Amable Salcedo-Davalos Violeta Claros Aguilar De Larrea Emma Verónica Ramos Farroñán |
| author_sort | Gary Christiam Farfán Chilicaus |
| collection | Producción científica |
| description | This exploratory methodological study demonstrates an integrated workflow that combines systematic evidence collection Preferred Reporting Items for Systematic reviews and Meta-Analyses (PRISMA 2020), bibliometric mapping, and Transformer-based natural language processing (RoBERTa) to generate multi-layer insights from Circular Economy-related scholarship, using circular bioeconomy literature as a domain case (2017–2025). Searches across Scopus, ScienceDirect, Taylor & Francis, and SAGE retrieved 2643 records; after deduplication and screening, 50 studies were included (mean quality 13.2/16; 68% high quality). Bibliometric mapping (VOSviewer; Scopus subset n = 1468) revealed three thematic clusters that converge with five conceptual framings extracted via qualitative synthesis, providing cross-method validation of the pipeline’s structural and interpretive outputs. The NLP layer identified a predominantly positive discursive valence in the English-language title–abstract–keyword corpus derived from Scopus records, with declining polarity and increasing subjectivity over time. Because these estimates were obtained from composite bibliographic text fields rather than full-text discussion sections, they should be interpreted as indicators of narrative framing rather than as direct evidence of epistemic bias or empirical overstatement. Within that scope, the joint reading of polarity, subjectivity, hedging, and measurement gaps suggests a possible mismatch between acknowledged evaluative limitations and the caution used to communicate them. |
| format | Review |
| id | openalex:W7161059534 |
| institution | UPeU |
| language | English |
| publishDate | 2026 |
| publishDateRange | 2026 |
| publishDateSort | 2026 |
| record_format | dspace |
| spelling | openalex:W7161059534Applying Bibliometrics and a RoBERTa Transformer in the Circular Bioeconomy: A PRISMA 2020 Systematic ReviewGary Christiam Farfán ChilicausAlexander Fernando Haro-SarangoAngela Fremiot Rodriguez-ArmasCésar Augusto Herrera-AsmatSilvia Cachay-SalcedoRosa Amable Salcedo-DavalosVioleta Claros Aguilar De LarreaEmma Verónica Ramos Farroñáncircular bioeconomycircular economyscience mappingRoBERTanatural language processingsentiment analysishedgingdiscursive framingresearch trendsconceptual frameworkmeasurement gapsepistemic biasscientometrics and bibliometrics researchBioeconomy and Sustainability DevelopmentMeta-analysis and systematic reviewsThis exploratory methodological study demonstrates an integrated workflow that combines systematic evidence collection Preferred Reporting Items for Systematic reviews and Meta-Analyses (PRISMA 2020), bibliometric mapping, and Transformer-based natural language processing (RoBERTa) to generate multi-layer insights from Circular Economy-related scholarship, using circular bioeconomy literature as a domain case (2017–2025). Searches across Scopus, ScienceDirect, Taylor & Francis, and SAGE retrieved 2643 records; after deduplication and screening, 50 studies were included (mean quality 13.2/16; 68% high quality). Bibliometric mapping (VOSviewer; Scopus subset n = 1468) revealed three thematic clusters that converge with five conceptual framings extracted via qualitative synthesis, providing cross-method validation of the pipeline’s structural and interpretive outputs. The NLP layer identified a predominantly positive discursive valence in the English-language title–abstract–keyword corpus derived from Scopus records, with declining polarity and increasing subjectivity over time. Because these estimates were obtained from composite bibliographic text fields rather than full-text discussion sections, they should be interpreted as indicators of narrative framing rather than as direct evidence of epistemic bias or empirical overstatement. Within that scope, the joint reading of polarity, subjectivity, hedging, and measurement gaps suggests a possible mismatch between acknowledged evaluative limitations and the caution used to communicate them.Reviewhttps://doi.org/10.3390/publications14020031W7161059534enPublications2304-67752026-05-13 |
| spellingShingle | circular bioeconomy circular economy science mapping RoBERTa natural language processing sentiment analysis hedging discursive framing research trends conceptual framework measurement gaps epistemic bias scientometrics and bibliometrics research Bioeconomy and Sustainability Development Meta-analysis and systematic reviews Gary Christiam Farfán Chilicaus Alexander Fernando Haro-Sarango Angela Fremiot Rodriguez-Armas César Augusto Herrera-Asmat Silvia Cachay-Salcedo Rosa Amable Salcedo-Davalos Violeta Claros Aguilar De Larrea Emma Verónica Ramos Farroñán Applying Bibliometrics and a RoBERTa Transformer in the Circular Bioeconomy: A PRISMA 2020 Systematic Review |
| title | Applying Bibliometrics and a RoBERTa Transformer in the Circular Bioeconomy: A PRISMA 2020 Systematic Review |
| title_full | Applying Bibliometrics and a RoBERTa Transformer in the Circular Bioeconomy: A PRISMA 2020 Systematic Review |
| title_fullStr | Applying Bibliometrics and a RoBERTa Transformer in the Circular Bioeconomy: A PRISMA 2020 Systematic Review |
| title_full_unstemmed | Applying Bibliometrics and a RoBERTa Transformer in the Circular Bioeconomy: A PRISMA 2020 Systematic Review |
| title_short | Applying Bibliometrics and a RoBERTa Transformer in the Circular Bioeconomy: A PRISMA 2020 Systematic Review |
| title_sort | applying bibliometrics and a roberta transformer in the circular bioeconomy a prisma 2020 systematic review |
| topic | circular bioeconomy circular economy science mapping RoBERTa natural language processing sentiment analysis hedging discursive framing research trends conceptual framework measurement gaps epistemic bias scientometrics and bibliometrics research Bioeconomy and Sustainability Development Meta-analysis and systematic reviews |
| topic_facet | circular bioeconomy circular economy science mapping RoBERTa natural language processing sentiment analysis hedging discursive framing research trends conceptual framework measurement gaps epistemic bias scientometrics and bibliometrics research Bioeconomy and Sustainability Development Meta-analysis and systematic reviews |
| url | https://doi.org/10.3390/publications14020031 |
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