Bibliographic record
Abstract
The neoliberal state of the world is showing a definite inability to be anti-colonial and anything but state government and corporate centric. In Canada, there are the most extractive mining industries in the world and yet we have no new routes to negotiate ethical or responsible global compacts when it comes to indigenous nations and people. On top of not having a way to reign in domestic corporations internationally we are continuing down a road of colonial governance when it comes to new rare earth minerals that are needed to shift away from coal, oil and gas towards electrified vehicles and the like. Analysts will need to be looking toward the possibility of a lithium cartel that may rival OPEC. In Canada, billion-dollar companies turn the heads of state officials who attempt to control the environmental assessments, terms of reference and monetary value to First Nations. Governments scramble to get any control over the new mining industries created for the “green economy” and yet still trample on the land and rights of First Nations. The example in this paper will be negotiations around the so-called “ring of fire”, 5,000 km of land near James Bay. The Canadian government says it will make billions of dollars, meanwhile, Nishnabe Aski nations, Treaty 9 nations, that struggle with abdications, suicide, housing, water and more, have not had input in the talks at all, and with such a dire living condition one wonders how they will “negotiate” at all with these lush companies and governments. There is no free prior or informed consent (FPIC), and the Canadian government claims they are going ahead with the project in two years.
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 | 0.004 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.010 | 0.012 |
| Scholarly communication | 0.008 | 0.005 |
| Open science | 0.001 | 0.005 |
| Research integrity | 0.003 | 0.006 |
| Insufficient payload (model declined to judge) | 0.022 | 0.003 |
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".