Bibliographic record
Abstract
On 24 November 1989 the Canadian House of Commons unanimously passed an all-party resolution to eliminate poverty among Canadian children by the year 2000. Yet in 2005 a report by UNICEF placed Canada nineteenth in a ranking of the relative poverty of children in 26 of the world's richest countries (Greece, Hungary, and Poland all had a significantly better record). How can this be? This short and engaging book provides the latest research on child poverty by Canadian sociologist Patrizia Albanese. She looks at how many Canadian children live in poverty, exploring trends over time, across provinces, and among various groups. Her research reveals which children are most vulnerable and why, and describes the physical, behavioural, and educational impact of poverty. In clear terms she explains the various ways of measuring poverty and considers why Canada ranks so low on the international scale. Finally, Albanese evaluates the theories and possible solutions to the problem. Of interest to students of sociology, social work, and early childhood studies-and concerned readers alike-this important book provides a useful introduction to a topic of key importance.
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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 | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.005 |
| Science and technology studies | 0.018 | 0.002 |
| Scholarly communication | 0.005 | 0.001 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.002 | 0.002 |
| Insufficient payload (model declined to judge) | 0.021 | 0.002 |
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; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".