Living Well Together: Understanding Treaties as Arguments to Share (L'esprit des Traités : le Traité comme Accord de partage)
Bibliographic record
Abstract
English Abstract: Anishinaabe law tells us that land is not to be owned. Rather, we are in a relationship of respect with the land, with a sense of belonging to the land or “being of the land.” Non-Indigenous legal systems, however, are primarily based in ideas of land ownership and possession. Treaties were made by Indigenous nations and representatives of the Crown in order to settle land questions. For example, the Anishinaabe of Treaty 1 petitioned the Lieutenant-Governor of Manitoba to enter into a Treaty negotiation in order to ensure protection against the encroachment of white settlers who were taking timber from Anishinaabe lands. French Abstract: La loi anishinaabe nous dit que la terre ne peut etre possedee. Nous entretenons plutot une relation de respect avec la terre, au sens ou nous appartenons a cette terre et ou nous en faisons partie. Les systemes juridiques non-autochtones, pour leur part, reposent sur les notions de propriete et de possession du territoire. Des Traites ont ete conclus entre les Nations autochtones et les representants de la Couronne afin de regler des questions de nature territoriale. Par exemple, les Anishinaabe du Traite no 1 ont demande au lieutenant- gouverneur du Manitoba d’entamer des negociations afin de les proteger contre les intrusions des colons blancs qui pillaient le bois sur leurs territoires.
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 | 0.007 | 0.011 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.003 | 0.005 |
| Science and technology studies | 0.014 | 0.033 |
| Scholarly communication | 0.019 | 0.028 |
| Open science | 0.002 | 0.008 |
| Research integrity | 0.009 | 0.009 |
| Insufficient payload (model declined to judge) | 0.011 | 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".