Bibliographic record
Abstract
Social Policy and Social Justice looks concretely at the successes and failures of a social democratic government in Canada (1971-1982) in achieving social justice through its approaches to social policy. Social policy is analyzed widely, including day care, workers’ control, prescription drugs, social assistance, income distribution, legal aid and policing. Additional chapters review the NDP’s re-organization of bureaucracy and allocation of expenditures. Also included are an historical synopsis of the legislation pursued in the period and an analysis of the broader political, economic and sociological contexts in Canada. Social Policy and Social Justice is the first in-depth analysis of social policy at a provincial level. It is the product of the multidisciplinary scholarship of the authors, all of whom have extensive experience in policy-making, policy advocacy or policy research. This book will be an invaluable resource for comparative purposes, particularly since there are now three NDP governments across Canada, and the NDP is undergoing re-evaluation in the wake of the 1993 federal election. It will be of particular interest to those in government, university, community-based or political organizations wanting to re-examine mainstream assumptions about social democracy, social policy and social justice in Canada.
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 | 0.002 | 0.002 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.003 |
| Science and technology studies | 0.010 | 0.030 |
| Scholarly communication | 0.009 | 0.003 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.004 | 0.004 |
| Insufficient payload (model declined to judge) | 0.008 | 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".