Bibliographic record
Abstract
As an individual who has lived in the same place for 50 years, my relationships with the living community around me have changed. In the last ten years, there has been so much change happening – some good, some not. Much of my work has been in the arena of environmental stewardship and ‘conservation’, including engaging with Indigenous law and the commitments made in treaties between Indigenous nations and settler governments in order to protect the land and the people who depend on that land. Even though I am often thinking about the wellbeing of my Algonquin community, our responsibilities globally as Indigenous peoples factor into community wellbeing on a local level, through honouring all of life, all of creation, and the fact that we are all connected. International success and co-operation have an impact on the health and wellbeing of Indigenous peoples locally. I recently gave a guest lecture at Trent University, and talked to the class about fishing in the St. Lawrence before the seaway was built. I’ve watched these sorts of changes happen, these big projects. To me, it’s part of the patriarchy – you have big egos, with big projects, running over anyone in their way, including Indigenous communities. At one point, in the late 1980s or so, there were plans to put a giant power transmission line right through this property (where Plenty Canada is located), and I was part of the activism that stopped that. People are generally powerless to stop these kinds of projects, though.
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 | 0.002 | 0.006 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.026 | 0.003 |
| Scholarly communication | 0.003 | 0.003 |
| Open science | 0.002 | 0.007 |
| Research integrity | 0.005 | 0.007 |
| Insufficient payload (model declined to judge) | 0.057 | 0.005 |
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".