Saki Kuzushima
Biographic Data
| ID | 1084436 |
|---|---|
| NAME | Saki Kuzushima |
| GIVEN NAMES | Saki |
| FAMILY NAME | Kuzushima |
| SIGNATURE | KUZUSHIMA S |
| AFFILIATIONS | Independent Researcher , |
| ORCID | 0000-0003-3014-5203 |
| VERIFIED | Yes |
| TOTAL WORKS | 2 |
| TOTAL CITATIONS | 1 |
| AUTHOR COUNT | 2 |
| EDITOR COUNT | 0 |
| FIRST PUBLICATION YEAR | 2025 |
| LATEST PUBLICATION YEAR | 2025 |
| H-INDEX | 1 |
IO Endorsements, Perceived Alignment, and Public Support for Unpopular Policies
Recent research on international organizations (IOs) has highlighted their capacity to influence state behavior by shaping domestic public opinion, a key channel for policy change. This paper investigates an important extension of this mechanism: whether domestic leaders can proactively leverage IO endorsements to bolster support for contentious policies. Drawing on a survey experiment examining attitudes toward a controversial tax increase in Ja…
Improving Probabilistic Models In Text Classification Via Active Learning
Social scientists often classify text documents to use the resulting labels as an outcome or a predictor in empirical research. Automated text classification has become a standard tool since it requires less human coding. However, scholars still need many human-labeled documents for training. To reduce labeling costs, we propose a new algorithm for text classification that combines a probabilistic model with active learning. The probabilistic mod…
Improving Probabilistic Models In Text Classification Via Active Learning
Social scientists often classify text documents to use the resulting labels as an outcome or a predictor in empirical research. Automated text classification has become a standard tool since it requires less human coding. However, scholars still need many human-labeled documents for training. To reduce labeling costs, we propose a new algorithm for text classification that combines a probabilistic model with active learning. The probabilistic mod…
IO Endorsements, Perceived Alignment, and Public Support for Unpopular Policies
Recent research on international organizations (IOs) has highlighted their capacity to influence state behavior by shaping domestic public opinion, a key channel for policy change. This paper investigates an important extension of this mechanism: whether domestic leaders can proactively leverage IO endorsements to bolster support for contentious policies. Drawing on a survey experiment examining attitudes toward a controversial tax increase in Ja…
Improving Probabilistic Models In Text Classification Via Active Learning
Social scientists often classify text documents to use the resulting labels as an outcome or a predictor in empirical research. Automated text classification has become a standard tool since it requires less human coding. However, scholars still need many human-labeled documents for training. To reduce labeling costs, we propose a new algorithm for text classification that combines a probabilistic model with active learning. The probabilistic mod…
Active learning (machine learning (1 works) · Advanced Text Analysis Techniques (1 works) · Artificial Intelligence (1 works) · Artificial Intelligence (1 works) · Attractiveness (1 works) · Computer Science (1 works) · Dimension (graph theory (1 works) · Electrical and Electromagnetic Research (1 works) · Geochemistry and Geologic Mapping (1 works) · Geological Modeling and Analysis (1 works)