Our Whole Gwich’in Way of Life Has Changed / Gwich’in K’yuu Gwiidandài’ Tthak Ejuk Gòonlih
Bibliographic record
Abstract
Our Whole Gwich’in Way of Life Has Changed / Gwich’in K’yuu Gwiidandài’ Tthak Ejuk Gòonlih is an invaluable compilation of historical and cultural information based on a project originally conceived by the Gwich’in Social and Cultural Institute to document the biographies of the oldest Gwich’in Elders in the Gwich’in Settlement Region. Through their own stories, twenty-three Gwich’in Elders from the Northwest Territories communities of Fort McPherson, Tsiigehtshik, Inuvik, and Aklavik share their joy of living and travelling on the land. Their distinctive voices speak to their values, world views, and knowledge, while McCartney assists by providing context and background on the lives of the narrators and their communities. Scholars, students, and all those interested in Canadian/Northern history, anthropology, Indigenous Studies, oral history, or cultural geography will benefit from this critical resource. Foreword by Grand Deputy Chief Jordan Peterson. Elders Who Contributed Their Stories: Antoine (Tony) Andre, Caroline Andre, Hyacinthe Andre, Annie Benoit, Pierre Benoit, Sarah Bonnetplume, Marka Bullock, Lydia Alexie Elias, Mary Martha Firth, Sarah Ann Gardlund, Elizabeth Greenland, Violet Therese Jerome, Peter Kay Sr., Mary Rose Kendi, Ruby Anne McLeod, Catherine Martha Mitchell, Eunice Mitchell, Joan Ross Nazon, Annie Moses Norbert, Alfred Semple, Sarah Simon, Ellen Catherine Vittrekwa, Jim Julius Vittrekwa
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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 | 0.001 | 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 | 0.005 | 0.003 |
| Scholarly communication | 0.003 | 0.003 |
| Open science | 0.000 | 0.004 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.021 | 0.004 |
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".