Who's Who of American Returned Students 遊美同學錄 (1917): Affiliation Data (English)
<p>This dataset is derived from the <em>Whoʻs Who of American Returned Students </em>遊美同學錄<em> </em>[<em>Youmei Tongxue Lu</em>] published in<em> </em>Peking [Beijing] in 1917, compiled by the Returned Students’ Information Bureau (Liumei xuesheng tongxunchu 留美學生通訊處) established at Tsinghua School in 1915. This book is crucial for documenting the early <em>liumei</em>'s experiences during the transitional period between the late Qing dynasty and the early years of the Republic (1911-). </p> <p>The dataset records all the institutions to which the students were affiliated in the course of their lives, including the educational institutions in which they studied in China, the United States, and other countries; the public or private organizations in which they were employed; as well as their memberships in clubs and associations. The names of organizations were retrieved automatically using <a href="https://bookdown.enpchina.eu/rpackage/HistTextRManual.html#4_Named_Entity_Recognition">named entity recognition</a> (SpaCy model), then manually cleaned, classified, and validated by the author. </p> <p>The attached file contains three tabs for (1) the list of affiliations (data), (2) the classification of institutions (class); (3) the description of variables (key). The dataset records a total of 3,431 affiliations, linking 401 unique individuals to 1,305 unique institutions, distributed as followed: </p> <table> <tbody> <tr> <td><strong>category_main</strong></td> <td><strong>n</strong></td> </tr> <tr> <td>education</td> <td>535</td> </tr> <tr> <td>association</td> <td>255</td> </tr> <tr> <td>media</td> <td>108</td> </tr> <tr> <td>administration</td> <td>92</td> </tr> <tr> <td>business</td> <td>85</td> </tr> <tr> <td>facility</td> <td>47</td> </tr> <tr> <td>executive</td> <td>43</td> </tr> <tr> <td>railway</td> <td>39</td> </tr> <tr> <td>production</td> <td>33</td> </tr> <tr> <td>banking</td> <td>15</td> </tr> <tr> <td>other</td> <td>15</td> </tr> <tr> <td>event</td> <td>13</td> </tr> <tr> <td>military</td> <td>13</td> </tr> <tr> <td>judiciary</td> <td>8</td> </tr> <tr> <td>legislative</td> <td>4</td> </tr> </tbody> </table> <p> </p> <p> </p>
ShareScore
44/100
Overall dataset sharing score
Score breakdown
These five areas show where the dataset supports — or may limit — practical reuse.
- Stewardship
- 8
- Harmonization
- 4
- Access
- 16
- Reuse readiness
- 8
- Engagement
- 8