Bibliographic record
Abstract
2.1 Number of census districts (cDs), census subdistricts (cSDs), and enumeration areas (eas) by province, 1901-21 22 2.2 Federal and provincial elections, Canada, 1900-12 26 4.1 Racial or tribal origin of persons (n and %) living in Canada: According to the ccrI 1911 weighted 5% sample (ranked from largest to smallest group) and the Census and Statistics Office published tables 75 5.1 Speakers of English and French by province (n and %), Canada, 1911: According to the Census and Statistics Office 107 5.2 Speakers of English only and French only (%), by province and all of Canada, 1911: According to the Census and Statistics Office 108 5.3 Speakers of English only, French only, and English and French (%), by province and all of Canada, 1911: According to ccrI 1911 weighted 5% sample 111 6.1 First language spoken by people enumerated as "Other Aboriginal" (n and %), Canada, 1911 126 6.2 Province or region where people classified as "Other Aboriginal" lived (n and %), Canada, 1911 127 6.3 Median ages (in years) of the Aboriginal (First Nations, Métis, Inuit, Other) and non-Aboriginal population groups (n) living in Canada, 1911 129 6.4 Aboriginal (First Nations, Métis, Inuit, Other) and non-Aboriginal people living in urban and rural areas (n and %), Canada, 1911 130 6.5 Language (Aboriginal or non-Aboriginal) commonly spoken by all Aboriginal people (First Nations, Métis, Inuit, and Other), and according to urban or rural residence (n and %), Canada, 1911 133 6.6 Mean age (in years) of Aboriginal people (First Nations, Métis, Inuit, and Other) who spoke an Aboriginal language, Canada, 1911 134
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 | 0.001 | 0.011 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.005 | 0.010 |
| Science and technology studies | 0.002 | 0.000 |
| Scholarly communication | 0.004 | 0.003 |
| Open science | 0.002 | 0.002 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.862 | 0.688 |
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".