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Who's Who of American Returned Students 遊美同學錄 (1917): Affiliation Data (English)

<p>This dataset is derived from the&nbsp;<em>Whoʻs Who of American Returned Students&nbsp;</em>遊美同學錄<em>&nbsp;</em>[<em>Youmei Tongxue Lu</em>] published in<em>&nbsp;</em>Peking [Beijing] in 1917,&nbsp;compiled by the&nbsp;Returned Students&rsquo; Information Bureau (Liumei xuesheng tongxunchu 留美學生通訊處) established at Tsinghua School in 1915. This book is crucial for documenting&nbsp;the early&nbsp;<em>liumei</em>&#39;s experiences&nbsp;during the transitional period between the late Qing dynasty&nbsp;and the early years of the Republic (1911-).&nbsp;&nbsp;</p> <p>The dataset&nbsp;records all the institutions to which the&nbsp;students were affiliated in the course of their lives, including the educational institutions in which they studied in China,&nbsp;the United States, and other countries; the public or private organizations in which they were employed; as well as their memberships in&nbsp;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.&nbsp;</p> <p>The attached file contains three tabs for&nbsp;(1)&nbsp;the list of affiliations (data), (2) the classification of institutions (class); (3) the description of variables (key).&nbsp;The dataset records a total of 3,431 affiliations, linking 401 unique individuals to 1,305 unique institutions, distributed as followed:&nbsp;</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>&nbsp;</p> <p>&nbsp;</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

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