New histories for old : changing perspectives on Canada's native pasts
Bibliographic record
Abstract
Maps Introduction / Ted Binnema and Susan Neylan 1 Arthur J. Ray and the Writing of Aboriginal History / Ted Binnema and Susan Neylan 2 Rupert's Land, Nituskeenan, Our Land: Cree and English Naming and Claiming around the Dirty Sea / Jennifer S.H. Brown 3 Echo of the Crane: Tracing Anishnawbek and Metis Title to Bawating (Sault Ste. Marie) / Victor P. Lytwyn 4 Compact, Contract, Covenant: The Evolution of Indian Treaty Making / J.R. Miller 5 Smallpox along the Frontier of the Plains Borderlands at the Turn of the Twentieth Century / Jody Decker 6 Mapping the New El Dorado: The Fraser River Gold Rush and the Appropriation of Native Space / Daniel Marshall 7 Innovation, Tradition, Colonialism, and Aboriginal Fishing Conflicts in the Lower Fraser Canyon / Keith Thor Carlson 8 Meanings of Mobility on the Northwest Coast / Paige Raibmon 9 Choose Your Flag: Perspectives on the Tsimshian Migration from Metlakatla, British Columbia, to New Metlakatla, Alaska, 1887 / Susan Neylan 10 Gitxsan Law and Settler Disorder: The Skeena Uprising of 1888 / R.M. Galois 11 Arthur J. Ray and the Empirical Opportunity / Cole Harris Contributors Index
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 | 0.001 | 0.003 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.004 | 0.010 |
| Science and technology studies | 0.042 | 0.015 |
| Scholarly communication | 0.017 | 0.006 |
| Open science | 0.002 | 0.004 |
| Research integrity | 0.001 | 0.003 |
| Insufficient payload (model declined to judge) | 0.030 | 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".