Bibliographic record
Abstract
Human rights are thought to be universal. Yet, for some, they are easier to acquire than it is for others. Some have voices to represent them, such as their countries, but what about those who’s ‘nations’ do not fit traditional international law’s definition of ‘a nation’? The legislation addressing their human rights must be adopted and subsequently implemented by their respective Nation-States. This is the case for the United Nations Declaration on the Rights of Indigenous Peoples (UNDRIP) in Canada. After eight years of opposition, Canada finally acceded to the declaration. Nevertheless, it is up to the provinces to harmonize their laws with UNDRIP. This research examines why British Columbia became the first province to adopt the document. We present three different perspectives: that of civil society, indigenous groups and the provincial government. Our discussions provide insight into how provincial laws can be attuned to international human rights law.
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 | 0.016 | 0.034 |
| Meta-epidemiology (narrow) | 0.000 | 0.001 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.004 |
| Science and technology studies | 0.018 | 0.028 |
| Scholarly communication | 0.018 | 0.007 |
| Open science | 0.002 | 0.013 |
| Research integrity | 0.004 | 0.010 |
| Insufficient payload (model declined to judge) | 0.010 | 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".