Review: <i>I Will Live for Both of Us: A History of Colonialism, Uranium Mining, and Inuit Resistance</i>, by Joan Scottie, Warren Bernauer, and Jack Hicks
Bibliographic record
Abstract
Book Review| May 01 2023 Review: I Will Live for Both of Us: A History of Colonialism, Uranium Mining, and Inuit Resistance, by Joan Scottie, Warren Bernauer, and Jack Hicks I Will Live for Both of Us: A History of Colonialism, Uranium Mining, and Inuit Resistance. By Joan Scottie, Warren Bernauer, and Jack Hicks. (Winnipeg, University of Manitoba Press, 2022. 264 pp.) Kelly Tzoumis Kelly Tzoumis DePaul University Search for other works by this author on: This Site PubMed Google Scholar Pacific Historical Review (2023) 92 (2): 318–319. https://doi.org/10.1525/phr.2023.92.2.318 Views Icon Views Article contents Figures & tables Video Audio Supplementary Data Peer Review Share Icon Share Facebook Twitter LinkedIn MailTo Tools Icon Tools Get Permissions Cite Icon Cite Search Site Citation Kelly Tzoumis; Review: I Will Live for Both of Us: A History of Colonialism, Uranium Mining, and Inuit Resistance, by Joan Scottie, Warren Bernauer, and Jack Hicks. Pacific Historical Review 1 May 2023; 92 (2): 318–319. doi: https://doi.org/10.1525/phr.2023.92.2.318 Download citation file: Ris (Zotero) Reference Manager EasyBib Bookends Mendeley Papers EndNote RefWorks BibTex toolbar search Search Dropdown Menu toolbar search search input Search input auto suggest filter your search All ContentPacific Historical Review Search I Will Live for Both of Us, by Joan Scottie, Warren Bernauer, and Jack Hicks, is a first-person perspective on the experience of the Inuit people to colonialism and extraction of resources, particularly minerals and uranium mining. Scottie, senior co-author, provides a narrative history of her experience as an Inuit member, particularly in the voice of Inuit women, to the resistance of colonialism and what is now recognized as environmental injustices against her community. This book succeeds in achieving the seamless blend of solid historical documentation contributed by co-authors Bernauer and Hicks with the authentic voice of the community. Like many other environmental injustices against indigenous people, this is a detailed account of the resource extractions and legacy of mining that threaten a community. This book is part of a larger body of history and literature that illustrate how environmental justice communities are exploited not just of their natural resources... You do not currently have access to this content.
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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 | 0.003 | 0.019 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.002 | 0.001 |
| Bibliometrics | 0.004 | 0.005 |
| Science and technology studies | 0.001 | 0.002 |
| Scholarly communication | 0.005 | 0.005 |
| Open science | 0.003 | 0.002 |
| Research integrity | 0.004 | 0.005 |
| Insufficient payload (model declined to judge) | 0.029 | 0.022 |
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".