Nation-to-Nation Evaluation: Governance, Tribal Sovereignty, and Systems Thinking through Culturally Responsive Indigenous Evaluations
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
Abstract: This paper was presented as part of the opening plenary panel at the 2018 Canadian Evaluation Conference in Calgary, Alberta, on May 27, 2018. Through telling the origin stories of First Nations/Indigenous people and Western evaluation colleagues, we can begin to understand the history and practical applications for advancing the truth through evaluation. The Doctrine of Discovery is rarely told as part of the Western canon of history or contemporary evaluation practice. There are significant and negative cultural, human rights, and social impacts that have deep institutional and systemic roots that continue to cause harm to First Nations/Indigenous populations throughout the world. To change centuries of old negative outcomes and impacts, we must understand our personal origin stories and the origin stories embedded within evaluation. Governance, policy, and evaluation can work as transformative levers for professional and sustained change if systems, critical and Indigenous theories, and methods are utilized. This paper offers origin stories of First Nations and colonial nations as a historical perspective and a new Tribal Critical Systems Theory to change contemporary Nation-to-Nation evaluation practices.
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.
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.035 | 0.009 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.002 | 0.002 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| 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 it