Raw Data
收藏DataCite Commons2023-08-21 更新2024-08-18 收录
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https://figshare.com/articles/dataset/Raw_Data/24000054
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资源简介:
Data from the following study: This study investigates the representation of prevention methods and social identities within high-impact social work journals. The analysis reveals a stark bias towards intervention-focused research, outnumbering prevention-related studies by a ratio of 2:1. This imbalance highlights a critical gap in the field's understanding and application of preventive measures, demonstrating an urgent need for a more balanced research and conceptual approach.Further, the study finds that the incorporation of social identities into research is not statistically significant. Factors such as age, race, gender, and sexuality, which play crucial roles in shaping our social world, are largely overlooked within influential academic work in the field. Moreover, the trend data indicates a decline in the use of gender, race, and age terms in abstracts from 2018 to 2022, suggesting a concerning future landscape.The study also reveals that certain social identities within age, race, gender, and sexuality categories are disproportionately represented, with children, Asian populations, women, and LGB populations being predominantly featured. Furthermore, while gender and age show significant correlations with both prevention and intervention frameworks, race and sexuality exhibit weaker correlations, indicating their insufficient incorporation into prevention or intervention strategies.These findings underline the need for a more inclusive, comprehensive, and balanced approach in social work research. They also call for introspection on how far the field's research has deviated from its Code of Ethics and mission, emphasizing the urgency of aligning future research with the profession's commitment to social justice and the dignity of all individuals.<br>
提供机构:
figshare
创建时间:
2023-08-21



