
























I'm a Senior Software Developer with a focus on .NET and secure software development, and a Classical Studies undergrad interested in the Late Antiquity & Early Medieval Period, Christian theology, ontology and linguistics based in Cary, North Carolina.
This year I have been doing a research project into the branch of my great-grandfather's extended family from Canada that settled in the Bronx around the year 1900, which is now being expanded into this digital collection. I have been able to collect hundreds of pages of source documents, historical records, deeds, travel documents, and more which I will be collating here. There is a rich trove of data due to the fact that much of the generation that came of age in New York City following WWI included international lawyers and travelers who were also well documented as a result of the wealth and influence of their extended family in and around Halifax, Nova Scotia.
This site will be a repository of stories, historical artifacts, documents, and more, covering the 1880s to 1950 in Halifax and New York City, as well as stops in Berlin, Paris, and London.
My primary research guides for this project are The Chicago Manual of Style 18th edition (CMOS) and Evidence Explained 4th edition (EE) by Elizabeth Shown Mills. When creating citations I've favored CMOS-style for more common references, for the more unusual genealogical sources EE-style (which is similar). Zotero was used heavily for reference management and is the project foundation. The main ontology used is AgRelOn, an agent relationship ontology by Deutsche Nationalbibliothek.
Most of the items on this site are primary sources. Any secondary sources have been carefully assessed and are not included unless they have been backed by additional sources as well as any discrepancies noted or explained. Sensitive documents of living individuals (mainly personal private information) have been retained and not uploaded. For consistency any names used unless stated otherwise are birth names, not current names.
Items that were images originally in PDF format were losslessly unpacked back into image files using Poppler utilities. Privately held documents have been preserved as 600ppi TIFF master scanned copies that are exported following light editing to high-resolution web-compatible images for upload. When an item or collection is mature and well-sourced in Zotero it is then published to here on Omeka.
For Omeka itself I've leveraged a slightly modified copy of the AM-Digital-Research-Environment/omeka-s-docker Docker template from GitHub for deployment, after accidentally obliterating the homespun version 1 of this site.
No writing, images, or code at any point, editing, grammar, or otherwise, have utilized Large Language Models (LLMs), Generative AI models, or tools that incorporate them.
Artificial intelligence was used conservatively in two specific scenarios: Any transcribed print text documents may have been transcribed with the assistance of local-only tools utilizing Apple's Vision framework or Tesseract OCR. Any transcribed cursive documents may have been transcribed with the assistance of Transkribus, an AI cursive parsing platform run by the European nonprofit (and partner of the Wikimedia Foundation) READ-COOP, using paid professional-tier models. Outputs for both were followed up with full manual verification and editing for accuracy, with any names and inconclusive interpretations cross-referenced with primary sources (e.g., census records, newspaper articles).
One very minor exception to the above policy was for a few handwritten foreign language documents, as I am not qualified to transcribe German cursive from 1910. For these I did a cursory review of the output from Transkribus, but did not let it translate it in place, then translated that output separately with Google Translate so both outputs can be analyzed individually. These items will have reminders regarding this disclaimer where applicable.
Zotero, Omeka, ImageMagick, Tesseract OCR, Transkribus, Podman/ Docker, Google Translate, Poppler Utils
此内容由惯性聚合(RSS阅读器)自动聚合整理,仅供阅读参考。 原文来自 — 版权归原作者所有。