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Record W4410632650 · doi:10.22215/etd/2025-16406

Mi’kmaw and Settler Understandings of the Peace and Friendship Treaties: Imagining a Decolonial Future for Treaty Relationships

2025· dissertation· en· W4410632650 on OpenAlexaffabout
Sarah Elizabeth Daviau

Bibliographic record

Venuenot available
Typedissertation
Languageen
FieldSocial Sciences
TopicAnthropological Studies and Insights
Canadian institutionsCarleton University
Fundersnot available
KeywordsFriendshipTreatyPolitical scienceSociologyLawSocial science

Abstract

fetched live from OpenAlex

Settler Canadian and Mi’kmaw understandings of the Peace and Friendship Treaties have diverged since they were first signed. The historical context of the negotiation and treaty-making period demonstrates that Mi’kmaw and British motivations to establish a treaty relationship were each based within their respective worldviews. These perspectives continued to diverge in the twentieth century as the Mi'kmaq challenged criminalization and asserted their sovereignty within colonial courts. Settler entitlement, a lack of treaty knowledge, and a government unwilling to engage in their nation-to-nation treaty relationship contributed to the eruption of conflict in 2020 as Mi'kmaw fish harvesters exercised their treaty rights. Guided by Mi’kmaw communities and worldviews, we can reframe settler belonging in Indigenous territories, educate ourselves on Mi’kmaw treaty knowledge, begin to live by the spirit and intent of treaties, and decolonize our relationships. Two-Eyed Seeing highlights a path forward in our treaty relationship through the shared labour of decolonization.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.003
metaresearch head score (Gemma)0.002
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.723
Threshold uncertainty score0.551

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0030.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0020.001
Science and technology studies0.0200.038
Scholarly communication0.0100.009
Open science0.0010.004
Research integrity0.0020.004
Insufficient payload (model declined to judge)0.0040.000

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.

Opus teacher head0.046
GPT teacher head0.338
Teacher spread0.292 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designQualitative
Domainnot available
GenreEmpirical

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".

Quick stats

Citations0
Published2025
Admission routes2
Has abstractyes

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