Bibliographic record
Abstract
Tables and Figures tables 2.1 Canadian registered charities, by sector and category, February 1999 16 2.2 Changes in composition of Canada's charitable sector, by sector and category, 1991-99 18 2.3 Charity concentration and places of worship, by province, 1999 20 2.4 Registered charities, by province and major category, February 1999 21 2.5 Distribution of charitable-sector revenues, by charity type 23 2.6 Dependence on sources of funding (%) 25 2.7 Distribution of principal revenue sources: governments and donations (%) 26 2.8 Proportion of charity expenditures going to each type of expenditure, by charity type (%) 27 2.9 Aggregate T1 donations, 1984-97 30 2.10 Donors' behaviour, by province: T1 statistics for 1995 tax year 31 2.11 T1 statistics for 1995 tax year 31 2.12 Donors' behaviour, by province: T1 statistics for 1997 tax year 33 2.13 Comparing two reliable data sources 34
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 | 0.025 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.008 | 0.019 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.006 | 0.004 |
| Open science | 0.003 | 0.001 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.728 | 0.489 |
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; the direct Gemma label and the distilled Codex classifier agree on what is shown here.
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".