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
Canada is a prosperous country, but this prosperity is being stressed by demographics, pressures on the public purse, and low productivity growth. To maintain the nation's high quality of life, prosperity must increase while remaining sustainable. Combining Brzustowski's knowledge of government, industry, and academia, The Way Ahead, articulates a strategy for moving the Canadian economy towards higher-value products based on research and development, describing the practical steps government, industry and academia must take to improve things in the short term and prepare strategically for the long term. He recommends increasing productivity growth by embracing an economy based on innovation, prioritizing research and development, marketing Canadian products internationally, and encouraging entrepreneurial activities in all sectors. Ultimately, increasing prosperity will require a new level of understanding, strategic coherence, and mutual support between the private and public sectors in Canada, a challenge that the author feels Canada is prepared to and absolutely must face.
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 | 0.002 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.004 | 0.010 |
| Science and technology studies | 0.006 | 0.005 |
| Scholarly communication | 0.008 | 0.013 |
| Open science | 0.013 | 0.005 |
| Research integrity | 0.001 | 0.003 |
| Insufficient payload (model declined to judge) | 0.005 | 0.005 |
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