Bibliographic record
Abstract
The Center for Indigenous Law, Governance and Citizenship was established in 2003 at Syracuse University College of Law under the direction of Robert Odawi Porter. The Center has four main goals: To conduct research relating to the citizenship rights and responsibilities of Indigenous peoples in the United States, Canada, and throughout the world; To conduct research relating to the law and governance of Indigenous nations in the United States and Canada; To provide technical assistance to Indigenous nations in the United States and Canada seeking to reform their governing institutions and administrative laws, as well as federal, state, local, and provincial governments seeking to reform their Indian affairs laws; and to promote a greater understanding of the law, governance, and history of the Haudenosaunee (the 'People of the Longhouse'). The Center for Indigenous Law sponsored a conference entitled, "Going Home: A Symposium on the Return of Removed Indigenous Peoples." The Symposium was held on November 10, 2003 in Syracuse, New York. Since indigenous law has international legal ramifications and has emerged as a burgeoning area of scholarship, the Journal chose to publish the legal commentary given at the Conference.
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 | 0.003 | 0.010 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.004 | 0.003 |
| Science and technology studies | 0.010 | 0.001 |
| Scholarly communication | 0.006 | 0.003 |
| Open science | 0.002 | 0.006 |
| Research integrity | 0.003 | 0.005 |
| Insufficient payload (model declined to judge) | 0.318 | 0.082 |
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".