Education in Canada : in Pursuit of Educational Quality\nand Equity
Bibliographic record
Abstract
Canadá es uno de los pocos países en el mundo que no tienen un Ministerio\nNacional de Educación sino numerosos departamentos provinciales\nque son los responsables de la gestión educativa. El artículo proporciona\nuna panorámica de los sistemas educativos canadienses. Describe el\nactual contexto político, económico y social y ofrece un breve repaso\nhistórico de la evolución de esos sistemas. El artículo enfrenta la cuestión\nde la calidad y la equidad educativas a través de indicadores referidos a\neducación y plantea críticamente las reformas educativas que han tenido lugar.\nSe analizan los puntos fuertes y las debilidades de los sistemas educativos\nde Canadá. El articulo concluye con interesantes aportaciones sobre la\nestrecha relación entre equidad educativa e inequidad social.
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How this classification was reachedexpand
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 | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.067 | 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 teacher head, 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".