Bibliographic record
Abstract
Cemeteries are not only repositories of the dead: they reflect individual and group identities and attachment to place. Moreover, they play a central role in the social and political history of local communities. Although numerous community organizations are working to locate and document Alberta's cemeteries, each group has its own focus, e.g., headstone photos, genealogical information, or transcription indexes. As such, these records contain only limited information on the social, historical, and environmental contexts of the graves and cemeteries, making the data useful for genealogical research but of limited value for the investigation of how burial practices reflect patterns of settlement, kinship, and economic prosperity. In addition, the record formats from different organizations are often incompatible, and many records have been collected in file formats and on media that are becoming obsolete. Through collaboration between university researchers and students, the provincial government, and numerous community organizations, the Alberta Historical Cemeteries project is creating a centralized digital database of Alberta's historical cemeteries. This database will (a) enhance the ability of researchers and students to investigate the important social role played by Alberta's historical cemeteries and (b) serve as a centralized repository of information that can be used to shape policies and activities related to the management, protection, preservation, and commemoration of Alberta's cemeteries. Discipline: Computing Science Faculty Mentor: Dr. Nicholas Boers
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 | 0.006 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.005 | 0.007 |
| Science and technology studies | 0.006 | 0.001 |
| Scholarly communication | 0.007 | 0.001 |
| Open science | 0.002 | 0.003 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.057 | 0.011 |
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".