"Real" Indians and Others: Mixed-Blood Urban Native Peoples and Indigenous Nationhood (review)
Bibliographic record
Abstract
Reviewed by: 'Real'Indians and Others: Mixed-Blood Urban Native Peoples and Indigenous Nationhood Jean-Paul Restoule (bio) Bonita Lawrence . 'Real'Indians and Others: Mixed-Blood Urban Native Peoples and Indigenous NationhoodUniversity of British Columbia Press. xviii, 308. $34.95 Bonita Lawrence's work draws on first-person interviews to provide a descriptive overview of identity politics for urban Aboriginal people. This work is framed by, and situated within, an analysis of legislative and political definitions of Indian identity imposed by various settler governments since the nineteenth century. Essentially, Lawrence argues that the division, exclusion, and entitlements created historically by the Indian Act and treaty negotiation practices are responsible for the often intricate and puzzling social categories of Indian identities and politics practised and experienced by Aboriginal people today. In attempting to illuminate the difficult choices, challenges, and ruptures that influence Aboriginal people in urban settings, it is quite easy to get lost. To keep the reader focused, Lawrence continually returns to the way in which colonialist definitions have created and contribute to this confusion. Using twenty-nine interviews as the primary data, Lawrence's study features a diversity within Aboriginal communities. This study composition makes Lawrence's work quite complex. Every aspect that potentially divides Aboriginal people - including gender, ties to land and community, blood quantum, knowledge and use of language and culture - is described in all its complexity. This is no easy feat. If at times Lawrence constructs convoluted sentences to portray the various exceptions, and historical derivations and detours of identity discourses, it is because there is no simple way to relate this history. An unfortunate side effect may be that some readers will become confused. But if they're confused trying just to understand Lawrence's analytic and descriptive approach to urban Aboriginal identity, it only serves to underscore what it's like for the people in her study who have to live it. Academic study of urban Aboriginal identity has proliferated in the past ten years. The basic research undertaken for this book pre-dated many important developments in the urban Aboriginal landscape, so don't look for any discussion of the impact of the Corbiere decision or the federal [End Page 177] government's Urban Aboriginal Strategy. This timing also explains the absence of key urban Aboriginal identity literature such as Deborah Jackson's insightful book Our Elders Lived It! (2002) and the edited collections by Susan Lobo and Kurt Peters (American Indians and the Urban Experience, 2000) and David Newhouse and Evelyn Peters (Not Strangers in These Parts, 2003). But the title of the book highlights the mixed-blood aspect of identity and Lawrence draws on mixed-blood literature extensively. While admirably picking apart the paradoxes of the racial identity of Métisness, Lawrence surprisingly underestimates the reality of a distinct Métis cultural identity on the plains. Early on, Lawrence admits the work will have an eastern Canadian bias and indeed, this is true - Métisness on the plains is more than a by-product of treaty negotiations and the Indian Act. But there are many strengths in Lawrence's approach. Her chapter detailing how sexism influenced Indian identities is already becoming a classic, used as it is in several introductory area studies courses. Also noteworthy is Lawrence's handling of issues of appearance. Light-skinned Aboriginal people and their exclusion from Aboriginal life by 'Hollywood ' Indians have been fleetingly addressed by others, but the privilege they enjoy has rarely been discussed so well as here. Lawrence's analysis of light-skinned Aboriginal privilege is both original and overdue. Lawrence also uses this work to illuminate the players and the field in the inevitable battle that is to come over the Indian Act's phasing out of status Indians through intermarriage. She has shown how and why urban Aboriginal people will play a key role in this coming fight, in particular those who have gained advanced education and middle-class socioeconomic status as a result of their Indian status and Aboriginal rights. This book serves as a wake-up call to Aboriginal people in both urban areas and rural reserves. Lawrence warns that as we fight each other over socially constructed...
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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 | 0.004 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.002 | 0.001 |
| Bibliometrics | 0.003 | 0.007 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.003 | 0.002 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.010 | 0.002 |
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".