Census in context: Documenting and understanding the making of early-twentieth-century Canadian censuses
Bibliographic record
Abstract
One of the central goals of the Canadian Century Research Infrastructure (CCRI) is to construct a series of contextual databases related to the making and taking of the Canadian decennial censuses during first half of the twentieth century. This 'data on the data' will provide researchers with the evidence necessary to undertake informed and critical analysis of the making, taking and reception of the census within its historical context. The contextual databases are the focus of this paper, which outlines conceptual and practical considerations involved in the collection and construction of two contextual data sources: newspapers and political debates. Drawing on two sets of examples related to the political stakes of the 1911 census we illustrate more concretely how this 'data on the data' can be used. While the microdata derived from census manuscripts will enable research into the hidden history of the individual lives of Canadians, the contextual data will make possible inquiries about the making and interpreting of that data and the challenges of the great enumerations of contemporary history.
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 distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.006 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.005 | 0.005 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.007 | 0.007 |
| Research integrity | 0.000 | 0.002 |
| Insufficient payload (model declined to judge) | 0.001 | 0.000 |
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 teacher head, 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".