Grave Matters: Mapping The Untold Stories Of The Saint-Colomban Cemetery
Bibliographic record
Abstract
ABSTRACT \n \nGrave Matters: Mapping the Untold Stories of the \nSaint-Colomban Cemetery \n \nKelley O’Rourke \n \nThis research undertakes a deep exploration of the Saint-Colomban cemetery in Québec, aiming to unveil the hidden stories within its burial grounds. While the first settlers arrived from Ireland as early as 1819, my primary focus centers on the years 1836–1847, mirroring the establishment of Saint-Colomban Parish and Cemetery in 1836. The primary objective is to bridge historical gaps in the Irish diaspora, spotlighting the significance of these absent markers in shaping the cultural narrative of the Irish community within the Saint-Colomban cemetery. Specifically, the research seeks to identify missing names using parish records, exploration of broken gravestones, undecipherable markings and meanings behind some of the epitaphs. Through this detailed research approach, preservation challenges encountered during the research process emerged as crucial elements, contributing essential insights to the broader historical picture. By incorporating oral histories from descendants, this study not only breathes life into the cemetery's historical narrative but also uncovers personal stories overlooked in traditional historical accounts. Through the combination of visual representations such as existing headstones and parish records, interviews with descendants, and mapping the cemetery layout, the research provides a comprehensive understanding of the missing monuments, their cultural significance, and the preservation challenges encountered with their discovery. This research goes beyond the surface, to uncover the missing monuments and their hidden stories, offering a meaningful perspective on the Irish diaspora in Canada. The focus on uncovering these gaps in history not only enriches our understanding of the past but also paves the way for a more inclusive and complete narrative of the Irish community in the Saint-Colomban parish.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.002 | 0.004 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.003 | 0.004 |
| Science and technology studies | 0.007 | 0.007 |
| Scholarly communication | 0.005 | 0.002 |
| Open science | 0.002 | 0.004 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.008 | 0.001 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".