Rethinking the Great White North: race, nature, and the historical geographies of whiteness in Canada
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
Introduction: Where Is Great White North? Spatializing History, Historicizing Whiteness / Andrew Baldwin, Laura Cameron, and Audrey Kobayashi Part 1: Identity and Knowledge 1 Phantasy in White in a World That Is Dead: Grey Owl and Whiteness of Surrogacy / Bruce Erickson 2 Indigenous Knowledge and History of Science, Race, and Colonial Authority in Northern Canada / Stephen Bocking 3 Cap Rouge Remembered? Whiteness, Scenery, and Memory in Cape Breton Highlands National Park / Catriona Sandilands Part 2: City Spaces 4 The Occult Relation between Man and Vegetable: Transcendentalism, Immigrants, and Park Planning in Toronto, c. 1900 / Phillip Gordon Mackintosh 5 SARS and Service Work: Infectious Disease and Racialization in Toronto / Claire Major and Roger Keil 6 Shimmering White Kelowna and Examination of Painless White Privilege in Hinterland of British Columbia / Luis L.M. Aguiar and Tina I.L. Marten Part 3: Arctic Journeys 7 Inscription, Innocence, and Invisibility: Early Contributions to Discursive Formation of North in Samuel Hearne's A Journey to Northern Ocean / Richard Milligan and Tyler McCreary 8 Copper Stories: Imaginative Geographies and Material Orderings of Central Canadian Arctic / Emilie Cameron Part 4: Native Land 9 Temagami's Tangled Wild: The Making of Race, Nature, and Nation in Early-Twentieth-Century Ontario / Jocelyn Thorpe 10 Resolving the Indian Land Question? Racial Rule and Reconciliation in British Columbia / Brian Egan 11 Changing Land Tenure, Defining Subjects: Neo-Liberalism and Property Regimes on Native Reserves / Jessica Dempsey, Kevin Gould, and Juanita Sundberg Interlocations Extremity: Theorizing from Margins / Kay Anderson Colonization: The Good, Bad, and Ugly / Sherene H. Razack Notes References Index
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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 | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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