Main Page

From Curriepedia
Jump to navigation Jump to search

Welcome to thunderbay.wiki. It is intended to be a comprehensive, interconnected historical graph of people, places, and things in Thunder Bay, Ontario, Canada.

Articles are generated using humans and also automatically, using AI agents who consume data on the web and from many other sources.

This wiki is PIPEDA-compliant; see our privacy policy

Curriepedia has documented 2,209 of an estimated 244,000 people who have lived in Thunder Bay since 7500 BCE — about 0.905%. View all Thunder Bay people

Every man has two deaths, when he is buried in the ground and the last time someone says his name. In some ways men can be immortal.

— Ernest Hemingway

🧠

New: Quiz
Check your knowledge of our articles with an AI-generated Quiz!
Start your Quiz →

🎙️

New: AI-Powered Voice Interview
Tell your story out loud and our AI interviewer will write your article.
Start Your Interview →

Purpose

This website is another vain attempt to preserve information longitudinally, a task which has always been a low priority for any civilization:

"Newspapers Accidentally Preserved A Record of Civilization and Nothing Has Replaced Them" — X post, February 13, 2026

What makes Encyclopedia-style articles so fascinating is how they look at subjects normally seen only in a snapshot at their present moment, and instead provide perspective by showing a little bit of information, the most salient information, spread over their whole lives. So instead of a LOT of information about the present moment, instead you get a nice even amount of information across their whole lives. Which creates a perspective that cannot easily be seen otherwise. It shows a more whole perspective, by showing the dimension of time. Another reason to do genealogy is to become habituated to the broad sweep of a human life and therefore become better at planning and thinking in one's own life. By studying one's own ancestors and seeing the mistakes they made, it's possible to contextualize events in your own life not as singular, special things but as variations on a theme established by dozens of your forebears.

— Michael B. Currie, October 2019

Newest Articles

Read, from ThunderBay.wiki's newest articles newest articles; or its longest ones. Some highlights:

Contributing

Due to spam, this wiki does not allow anonymous edits nor does it allow accounts to be created. The administrator has to create an account for you and email you the credentials.

If you would like to contribute, please email Michael B. Currie using the first initial of his first name, followed by his last name, followed by the at sign, followed by "gmail.com", to obtain your own editor account.

Consult the User's Guide for information on using the wiki software.

Similar efforts

[1] William Addams Reitwiesner, who got a job as a cart-pusher at the library of congress to pursue his hobby of genealogy, and who published the biographies of thousands of royals, and others, before dying of cancer at age 56 in 2010.

Methodology

Project Overview and Methodology

This repository is a comprehensive, MediaWiki-based biographical encyclopedia dedicated to documenting the historical residents of the Thunder Bay region. The primary value of the project lies in the automated synthesis, deduplication, and linking of disparate historical records into unified, narrative-style biographies.

By leveraging advanced artificial intelligence and automated data pipelines, the project transforms raw, unstructured archival data into a searchable, globally connected historical database.

Data Aggregation and Deduplication

The foundational dataset was built upon massive archives of primary local sources. This initial ingestion phase included:

  • Over 500,000 local newspaper entries (digitized from PDFs), originally indexed by community volunteers.
  • Thousands of regional estate and probate records.

An AI-driven pipeline was utilized to parse, clean, and deduplicate these primary sources, ensuring that varying name spellings, overlapping dates, and fragmented records were correctly attributed to single historical identities.

Entity Generation and Interoperability

Following the data cleaning phase, the system generated thousands of foundational "stub" articles, creating a unique MediaWiki entry for each identified individual.

To ensure the repository is interoperable with broader genealogical and academic databases, the data architecture prioritizes strict linking and provenance:

  • Global Identifiers: Where possible, entities are mapped to the global FamilySearch PID system and Wikidata Q identifiers, embedding the local database within the global semantic web.
  • Source Provenance: Every claim and entity maintains direct reference links back to the original historical newspaper entries and source documents.

Progressive AI Expansion via RAG

To elevate the stubs into comprehensive, narrative-style biographies, the project employs a progressive scanning AI loop.

This automated system continuously executes Retrieval-Augmented Generation (RAG) searches on existing entities. It crawls and synthesizes supplementary information from a vast array of secondary sources, including:

  • Academic research and historical journals
  • Online articles and digital archives
  • Full-text digital obituaries

This continuous loop allows the database to autonomously expand its coverage and depth, generating rich historical narratives for a large fraction of the region's historical population.

Privacy and PIPEDA Compliance

The platform adheres strictly to the Personal Information Protection and Electronic Documents Act (PIPEDA). While the database maps familial linkages that connect historical figures to living descendants, all information regarding living individuals is strictly obfuscated unless the explicitly opt-in to having their information displayed publicly. Any information incidentally collected about living persons who have not opted in are shielded behind a secure gate, accessible only to explicitly approved researchers, until such time as a death record transitions them to the public historical domain.

Future Roadmap

The ongoing development of the repository will focus on deeper data integration and structural refinement:

  • Semantic Indexing: Transitioning the MediaWiki structure to fully semantic data models (e.g., Semantic MediaWiki) to allow for complex, database-style querying by researchers.
  • Primary Source Expansion: Integrating full-text archives of historical newspapers and historical census data to further refine and cross-reference existing biographies.