Capturing causal claims: A fine-tuned text mining model for extracting causal sentences from social science papers.

Norouzi R, Kleinberg B, Vermunt JK, van Lissa CJ

DOI: 10.1017/rsm.2024.13
Published: 2025 Jan
Container: Research synthesis methods
Publisher: Not recorded
Open access: yes

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Cite this work

BibTeX

@article{allodium:10.1017/rsm.2024.13,
  title = {Capturing causal claims: A fine-tuned text mining model for extracting causal sentences from social science papers.},
  author = {Norouzi R and Kleinberg B and Vermunt JK and van Lissa CJ},
  year = {2025},
  journal = {Research synthesis methods},
  doi = {10.1017/rsm.2024.13},
  url = {https://doi.org/10.1017/rsm.2024.13}
}

RIS

TY  - JOUR
TI  - Capturing causal claims: A fine-tuned text mining model for extracting causal sentences from social science papers.
AU  - Norouzi R
AU  - Kleinberg B
AU  - Vermunt JK
AU  - van Lissa CJ
PY  - 2025
JO  - Research synthesis methods
DO  - 10.1017/rsm.2024.13
UR  - https://doi.org/10.1017/rsm.2024.13
ER  -

APA

R, N., B, K., JK, V., & CJ, V. L. (2025). Capturing causal claims: A fine-tuned text mining model for extracting causal sentences from social science papers.. Research synthesis methods. https://doi.org/10.1017/rsm.2024.13

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pubmed · retrieved 2026-09-26T19:10:15.537Z