Bibliographic record
Abstract
It is becoming an increasingly common practice in Canada and in other settler countries to begin public events with a territorial acknowledgement that references the original Indigenous peoples of the land.Sometimes this includes a few words of thanks for their stewardship and/or hospitality.Although these acknowledgements trace their origins to Indigenous diplomatic protocols of respect and relationship building, today this practice often seems to be treated as a minor chore, with little thought given to the importance of the acknowledgement.As editors of a book that is concerned with how relations to territory are shaped by political forces, we feel it is important to reflect upon and acknowledge the peoples, territories, and relations that have made this book possible.To acknowledge people and place requires us to locate ourselves in relation to the peoples and places we write about.As co-editors, we came together with a shared set of questions about the ways that Indigeneity and settler colonialism are theorized-or under-theorized-in urban studies.We recognize the history of and problems with extractive work done by outsiders to the Prairies.Scholars such as Vine Deloria Jr., Linda Tuhiwai Smith, and Margaret Kovach have called upon researchers to be accountable to communities.While some of us are currently outsiders to the region, most of us have a long history on the Prairies.For some of us this relates to ancestral connections to Indigenous communities, while others descend from settlers.We all share a conviction that not only are the Prairies an important place to understand settler colonialism and Indigenous resurgence, but that this work must be done in connection with people in the region.Throughout the development of this project, we have relied upon the guidance of numerous individuals and institutions located in the region, and we are grateful for the support they have provided.Of course, the responsibility for any shortcomings in this collection belongs to the editors alone.This project began with a workshop, held at the University of Winnipeg in the fall of 2016.This event brought contributors to this collection together with a range of activists and Indigenous community leaders to talk about the relationships between settler colonialism and urban life.Mitch Bourbonniere,
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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 | 0.008 | 0.061 |
| Meta-epidemiology (narrow) | 0.002 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.004 | 0.003 |
| Science and technology studies | 0.005 | 0.002 |
| Scholarly communication | 0.008 | 0.005 |
| Open science | 0.004 | 0.007 |
| Research integrity | 0.003 | 0.005 |
| Insufficient payload (model declined to judge) | 0.406 | 0.296 |
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; the direct Gemma label and the distilled Codex classifier agree on what is shown here.
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".