Leo Baskatawang, Reclaiming Anishinaabe Law: Kinamaadiwin Inaakonigewin and the Treaty Right to Education
Bibliographic record
Abstract
Culture Committee in 1975 to pursue his political work in educational practice and to complete the later volumes of his Studies in the History of Education, while engaging in new projects, such as classroom ethnography.Brian Simon comes across as a fascinatingly complex character in this biography, born into wealth and privilege but tirelessly campaigning for an egalitarian and democratic society.A loyal party man, toeing the party line in public as he followed its vagaries, but working within the party to undermine its authoritarian, anti-intellectual tendencies.Insisting on democratic centralism but opening spaces for the autonomous work of intellectuals and cultural producers.A brilliant historian, attentive to the long term and to the unintended consequences of political projects, pushing for democratic reform of educational provision, then forced to fight the rearguard action against Tory populist reaction.This book makes for a rewarding read.What we need now is a similar volume focused on Joan Peel Simon.
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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 | 0.002 | 0.004 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.014 | 0.007 |
| Scholarly communication | 0.007 | 0.010 |
| Open science | 0.002 | 0.003 |
| Research integrity | 0.015 | 0.012 |
| Insufficient payload (model declined to judge) | 0.008 | 0.001 |
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".