Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
The 2024 Article IV Consultation discusses that the Canadian economy appears to have achieved a soft landing: inflation has come down almost to target, while a recession has been avoided, with gross domestic product growth cushioned by surging immigration even as per capita income has shrunk. Housing unaffordability has risen to levels not seen in a generation, with demand boosted by immigration and supply facing continued challenges to expansion. Canada’s recent introduction of quantitative fiscal objectives is welcome and could be followed by adoption of a formal fiscal framework to anchor fiscal policy even more effectively. The authorities’ multipronged approach to address housing affordability is expected to yield results over time, but further efforts will likely be needed at all levels of government to address the large housing supply gap. Boosting Canada’s lagging productivity growth—including by taking steps to promote investment and R&D, harness artificial intelligence and other advanced technologies (within appropriate guardrails), and capitalize on the green transition—is a key priority for the country’s long-term prospects. Given skills gaps and demographic pressures, immigration remains a critical ingredient.
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.
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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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 it