Bibliographic record
Abstract
Tables and Figures Tables 4.1 The National Homelessness Initiative, 1999-2000 87 4.2 Supporting Communities Partnership Initiative 89 5.1 Signing Schedule for Participants in the Gas Tax Program 112 5.2 Allocation of Funds from 2005 to 2010, by Province and Territory 114 5.3 Allocation of the Three Funds in British Columbia 119 6.1 Major Inter-agency Tensions in the Redevelopment of the Toronto Waterfront 150 7.1 Evolution of Strategic Outcomes and Priorities from 2002 to 2010 187 9.1 Government of Canada -Planned Spending by Program Areas 230 9.2 Social Affairs Planned Spending, by Objectives 2008-09 231 9.3 Citizenship and Immigration Canada -Expenditures by Program Activity 231 9.4 Details on Transfer Payment Programs 232 9.5 Federal-Provincial/Territorial Agreements 239
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 | 0.023 |
| Meta-epidemiology (narrow) | 0.003 | 0.001 |
| Meta-epidemiology (broad) | 0.003 | 0.001 |
| Bibliometrics | 0.012 | 0.019 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.006 | 0.003 |
| Open science | 0.002 | 0.002 |
| Research integrity | 0.002 | 0.002 |
| Insufficient payload (model declined to judge) | 0.892 | 0.864 |
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".