Review of <i>Hidden in Plain Sight: Contributions of AboriginalPeoples to Canadian Identity and Culture, Volume l</i> Edited by David R. Newhouse, Cora J. Voyageur,and Dan Beavon
Bibliographic record
Abstract
Hidden in Plain Sight is a book with an unusual agenda: to discuss and publicize the many constructive, meaningful contributions that Aboriginal peoples have made to Canadian society. Aimed primarily at the general public, students, and Aboriginal people themselves, the book contains essays from treaty researchers, civil servants, lawyers, teachers, curators, artists, writers, undergraduate students, and academics. The book's impetus arose from its editors' frustration over the constant equation of Aboriginal people with pain, problems, and struggle. Widely absent from public discourse and academic writing, they felt, was attention to the strengths and capacity of Aboriginal peoples, their achievements in many fields of endeavor, and the signs of positive developments in recent years. As David Newhouse explains in his preface, the editors hoped to "add a new dimension to the picture of Aboriginal peoples, one that shows them to be industrious, meritorious, and accomplished," and by so doing to "help create a place of respect and dignity for Aboriginal peoples in Canada." The body of the book is divided into seven sections of varying lengths: "Treaties," "Arts and Media," "Literature," "Justice," "Culture and Identity," "Sports," and "Military." With three of the largest sections concentrating on arts and culture, this area receives by far the greatest attention, constituting over half of the volume's forty-seven items. Scattered throughout the book are twenty-four short biographical profiles, most of them produced by the undergraduate students in editor Cora Voyageur's sociology class. While these are not always elegant pieces of writing, they are an interesting element and directly showcase Aboriginal talent, creativity, and industry. In tone, content, style, and overall quality, this collection is, predictably, mixed. The articles also vary in their overall intent: some are clearly designed to provide overviews of an issue for the general public; others appear to be aimed more at an academic audience.· There is little content specifically on the Great Plains; rather, most articles attempt to cover most or all of Canada. Some individuals from the Great Plains are profiled, including academic and activist Harold Cardinal, artist Allen Sapp, linguist Freda Ahenakew, and architect Douglas Cardinal.
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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 | 0.004 | 0.008 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.002 | 0.001 |
| Bibliometrics | 0.010 | 0.028 |
| Science and technology studies | 0.005 | 0.005 |
| Scholarly communication | 0.006 | 0.004 |
| Open science | 0.003 | 0.002 |
| Research integrity | 0.002 | 0.003 |
| Insufficient payload (model declined to judge) | 0.007 | 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".