Bibliographic record
Abstract
Canada is one of the few countries in the world that does not have a national department of education but several provincial departments of education which are responsible for educational governance. The article provides an overview of Canada’s educational systems. It describes the current political, economic and social context and provides a brief historical overview oft he evolution of these systems. The article addresses educational quality and equity by drawing on educational indicators and discusses educational reforms that have taken place. The strengths and weak nesses of Canada’s systems of education are analyzed. The article concludes with remarks on the inter-relationship between educational equality and societal inequality Canadá es uno de los pocos países en el mundo que no tienen un Ministerio Nacional de Educación sino numerosos departamentos provinciales que son los responsables de la gestión educativa. El artículo proporciona una panorámica de los sistemas educativos canadienses. Describe el actual contexto político, económico y social y ofrece un breve repaso histórico de la evolución de esos sistemas. El artículo enfrenta la cuestión de la calidad y la equidad educativas a través de indicadores referidos a educación y plantea críticamente las reformas educativas que han tenido lugar. Se analizan los puntos fuertes y las debilidades de los sistemas educativos de Canadá. El articulo concluye con interesantes aportaciones sobre la estrecha relación entre equidad educativa e inequidad social.
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 | 0.003 | 0.008 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.007 |
| Science and technology studies | 0.012 | 0.008 |
| Scholarly communication | 0.012 | 0.003 |
| Open science | 0.001 | 0.004 |
| Research integrity | 0.002 | 0.003 |
| Insufficient payload (model declined to judge) | 0.005 | 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 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".