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
Poverty in Canada is on the rise, particularly among certain groups. While in developing countries poverty may affect much of the population, in a more developed country such as Canada it is largely restricted to specific groups. Such groups are often excluded from full participation in our social and economic institutions. There are many factors behind this lack of wealth and opportunity; addressing the phenomenon of poverty can be a complicated matter. Government demographer and lecturer Raghubar Sharma provides the first concise discussion of the specific groups that are affected by poverty, including the elderly, ethnic poverty, child poverty, and the working poor. Chapters focus on these groups and explore the circumstances behind their exclusion. Sharma also looks into a larger trend behind the rise of poverty: a massive economic transformation akin to the Industrial Revolution of the early 1700s has been underway since the 1980s. This phenomenon of globalization is eliminating labour-intensive jobs and polarizing the job market into high-skill, high-paying jobs on one hand and low-skill, low-paying jobs on the other. In these circumstances, the less-qualified, the disadvantaged, and the discriminated are unable to find decent jobs, and hence are destined to a life of poverty. As the world becomes a global village, there is an urgent need to understand poverty in Canada. Sharma's book, one of the first to consider the wide range of factors behind poverty in Canada, will be accessible to students as well as general readers interested in the growing reality of wealth inequality.
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