Moving Beyond the Decolonization Framework: Indigenous Research, Collaboration, and Decision-Making in Mi’kma’ki
Bibliographic record
Abstract
This dissertation is divided into three parts. Part I addresses the researchquestion, literature review, and methodologies. Part II is a treatment of original research that took place at Membertou Mi’kmaq Band between 2010 and 2013. The community centered research model is described in detail, which is followed by new analysis of data that was collected during that community-centered research. Part III discusses the context of Mi’kmaq Nation action over the last several decades. This action is influenced by the experience of Donald Marshall, Jr. in two major legal cases: 1) Marshall’s wrongful conviction and incarceration for murder, and then exoneration; and 2) Marshall’s arrest for violating provincial fishing laws, leading to a landmark decision on Mi’kmaw land, hunting and fishing, and commerce rights. Both these cases, along with evolving standards for Aboriginal rights, consultation, and accommodation, and changing institutional arrangements at Mi’kmaq led to the collaborative governance regime, the Made in Nova Scotia Process.
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 | 0.030 | 0.015 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.003 | 0.004 |
| Science and technology studies | 0.015 | 0.050 |
| Scholarly communication | 0.018 | 0.013 |
| Open science | 0.002 | 0.009 |
| Research integrity | 0.003 | 0.004 |
| Insufficient payload (model declined to judge) | 0.003 | 0.000 |
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".