What Is to Be Drummed?: Dialectic, Ceremony, and the Grounds of Commonality in Canada
Bibliographic record
Abstract
This essay engages both directly and indirectly with J. Edward Chamberlin’s fine but insufficiently anti-capitalist book on land and narrative entitled If This Is Your Land, Where Are Your Stories?: Finding Common Ground . The author commends the strengths of his work while expressing reservations about its discreetly aestheticizing tendencies, recourse to calculus, and impatience with postmodern and other forms of literary theory. The author attempts to counter these deficiencies (as he sees them) via strains of Marxist dialectic developed by Friedrich Engels, Fredric Jameson, and C.L.R. James, before turning to the work of James (Sakej) Youngblood Henderson, a leading Indigenous authority on treaty and other forms of ceremony that helped constitute Canada historically and continue to do so today. The author concludes by arguing that a way beyond current denial or diminishment of Aboriginal and treaty rights in Canada may be found in a new convergence of Marxist and Indigenous theory and practice on the contested ground of the here and now. Abstract: Le present article traite directement et indirectement du livre de J. Edward Chamberlin sur la terre et les histoires If This Is Your Land, Where Are Your Stories?: Finding Common Ground , qu’il juge excellent quoique pas suffisamment anticapitaliste. L’auteur apprecie les points forts de cette œuvre tout en exprimant ses reserves concernant ses tendances discretement embellissantes, ses recours au calcul et son impatience vis-a-vis du postmodernisme et d’autres formes de theorie litteraire. L’auteur tente de contrer ces lacunes (selon lui) avec des points dialectiques marxistes mis de l’avant par Friedrich Engels, Fredric Jameson et C.R.L. James, avant de se tourner vers l’œuvre de James (Sakej) Youngblood Henderson, une importante autorite autochtone sur les traites et d’autres formes de ceremonies qui ont aide a constituer l’histoire du Canada et continuent de le faire maintenant. L’auteur termine en alleguant qu’un moyen d’aller au-dela des denegations actuelles ou de la reduction des droits autochtones ou conferes par un traite au Canada peut etre offert par une nouvelle convergence de la theorie et de la pratique marxiste et autochtone mettant un accent conteste sur le moment present.
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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 | 0.004 | 0.008 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.002 | 0.004 |
| Science and technology studies | 0.058 | 0.050 |
| Scholarly communication | 0.016 | 0.005 |
| Open science | 0.003 | 0.010 |
| Research integrity | 0.003 | 0.006 |
| Insufficient payload (model declined to judge) | 0.004 | 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".