First Nations, First Thoughts: The Impact of Indigenous Thought in Canada
Bibliographic record
Abstract
Acknowledgments Introduction: Indigenous Thought in Canada / Annis May Timpson Part 1: Challenging Dominant Discourses 1 First Nations Perspectives and Historical Thinking in Canada / Robin Jarvis Brownlie 2 Being Indigenous within the Academy: Creating Space for Indigenous Scholars / Margaret Kovach Part 2: Oral Histories and First Nations Narratives 3 Respecting Oral Histories of First Nations: Copyright Complexities in Archiving Aboriginal Stories / Leslie McCartney 4 Napi and the City: Siksikaitsitapi Narratives Revisited / Martin Whittles and Tim Patterson Part 3: Cultural Heritage and Representation 5 Colonial Photographs and Postcolonial Relationships: The Kainai-Oxford Photographic Histories Project / Laura Peers and Alison K. Brown 6 Museums Taken to Task: Representing First Peoples at the McCord Museum of Canadian History / Stephanie Bolton Part 4: Aboriginal Thought and Innovation in Subnational Governance 7 The Manitoba Government's Shift to Autonomous First Nations Child Welfare: Empowerment or Privatization? / Fiona MacDonald 8 Rethinking the Administration of Government: Inuit Representation, Culture, and Language in the Nunavut Public Service / Annis May Timpson 9 A Fine Balance? Aboriginal Peoples in the Canadian North and the Dilemma of Development / Gabrielle A. Slowey Part 5: Thinking Back, Looking Forward: Political and Constitutional Reconciliation 10 Civilization, Self-Determination, and Reconciliation / Michael Murphy 11 Take 35: Reconciling Constitutional Orders / Kiera L. Ladner Contributors Index
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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 | 0.005 | 0.011 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.005 | 0.009 |
| Science and technology studies | 0.078 | 0.037 |
| Scholarly communication | 0.021 | 0.006 |
| Open science | 0.003 | 0.011 |
| Research integrity | 0.003 | 0.007 |
| Insufficient payload (model declined to judge) | 0.016 | 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".