The Magazine of Early American Datasets (MEAD)
Document Type
Dataset
File Format
.csv
Abstract
This dataset includes a transcription of the baptismal register for the French Catholic church Saint-Martin des Attakapas, now modern St. Martinville Louisiana, as well as a cleaned version of each baptism formatted as source-target pairs for social network analysis. The data includes 163 baptisms from 1756 to 1794, mainly of displaced Acadians. A handful of enslaved and Indigenous people are also represented. The data has been prepared for network analysis by regularizing the spelling of names. Source/Target pairs for network analysis were created by creating a pair between all adults who participated in a baptism. The network is assumed to be undirected. The year of baptism or edge creation is included in the edgelist file.
Time Period: Start Date of Data Collection
2022
Time Period: End Date of Data Collection
2022
Time Period: Start Date of Data Coverage
1756
Time Period: End Date of Data Coverage
1794
Date of this Version
12-2022
Source(s)
Transcribed by Maeve Kane from "Fonds des paroisses catholiques de la Louisiane - 2237." Canadiana Heritage. https://heritage.canadiana.ca/view/oocihm.lac_reel_c2237/1. Frames 1-52.
Creative Commons License
This work is licensed under a Creative Commons Attribution 4.0 License.
Recommended Citation
Merring-Darling, Kathy and Kane, Maeve, "St. Martinville Louisiana Baptism Network," 01/01/22 - 01/01/22. 56. Philadelphia, PA: McNeil Center for Early American Studies [distributor], 2022. https://repository.upenn.edu
Included in
American Studies Commons, Genealogy Commons, History of Gender Commons, History of Religion Commons, Women's History Commons
Article Location
Date Posted:08 December 2022
Comments
This dataset was created as part of the research for my ongoing project comparing baptismal networks in early North America. I have taken care to minimize mistakes and err on the side of caution in identifying individuals who appear in the dataset under multiple name spellings as the same individual, but I cannot guarantee it is free from human error. In assigning gender to individuals within the network, I have drawn on my own experience as a researcher and documentary evidence where available. The dataset is offered "as is," and researchers are encouraged to consult the original records in the event of uncertainty. If you have feedback, notice errors in the data, or have further questions, please contact me at mkane2@albany.edu.