First Nations, Identity, and Reserve Life: The Mi'kmaq of Nova Scotia
Bibliographic record
Abstract
Issues of identity figure prominently in Native North American communities, mediating their histories, traditions, culture, and status. This is certainly true of the Mi’kmaw people of Nova Scotia, whose lives on reserves create highly complex economic, social, political, and spiritual realities. This ethnography investigates identity construction and negotiations among the Mi’kmaq, as well as the role of identity dynamics in Mi’kmaw social relationships on and off the reserve. Featuring direct testimonies from over sixty individuals, this work offers a vivid firsthand perspective on contemporary Mi’kmaw reserve life. Simone Poliandri begins First Nations, Identity, and Reserve Life with a search for the criteria used by the Mi’kmaq to construct their identities, which are traced within the context of their different perceptions of community, tradition, spirituality, relationship with the Catholic Church, and the recent reevaluation of the iconic figure of late activist Annie Mae Aquash. Building on the notions of self-identification and ascribed identity as the primary components of identity, Poliandri argues that placing others at specific locations within the social landscape of their communities allows the Mi’kmaq to define and reinforce their own spaces by way of association, contrast, or both. This identification of others highlights Mi’kmaw people’s agency in shaping and monitoring the representations of their identities. With its theoretical insights, this richly textured ethnography will enhance understanding of identity dynamics among Indigenous communities even as it illuminates the unique nature of the Mi’kmaw people.
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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 | 0.000 | 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 | 0.008 | 0.004 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.000 | 0.002 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 0.000 |
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".