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Record W7133101222

Indigenous Allodial Homeland

2025· dissertation· W7133101222 on OpenAlexaboutno aff
Alec Andrew Sader

Bibliographic record

VenueTSpace · 2025
Typedissertation
Language
FieldSocial Sciences
TopicIndigenous Peoples' Rights and Law
Canadian institutionsnot available
Fundersnot available
KeywordsIndigenousSovereigntyDoctrineHomelandAbandonment (legal)AssertionConventionFlourishing
DOInot available

Abstract

fetched live from OpenAlex

The Crown’s assertion of sovereignty in Canada hosts significant internal inconsistencies, primarily the ex post facto application of the doctrine of discovery in the nineteenth century in Canada. As a result of the Crown’s assertion of sovereignty, and after decades of development lasting over a century, Canadian courts devised the doctrine of Aboriginal title, a property law doctrine whereby Indigenous peoples can obtain a sui generis interest in land. Considering an alternative narrative of sovereignty, wherein both the Crown and Indigenous peoples are sovereign self-determined nations within Canada, a doctrine to replace Aboriginal title is necessary. Inspired from allodial title and concerned with identifying Indigenous homelands rather than boundaries of a property right, a new doctrine is proposed: Indigenous allodial homeland. Indigenous allodial homeland promotes Indigenous sovereign self-determination’s flourishing and provides a territorial foundation for Indigenous peoples to interact with the Crown’s sovereign self-determination in a constellation of interrelationship.

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)0.000
metaresearch head score (Gemma)0.001
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.565
Threshold uncertainty score0.875

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0080.005
Scholarly communication0.0020.001
Open science0.0010.003
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0100.001

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.

Opus teacher head0.017
GPT teacher head0.359
Teacher spread0.341 · 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 designNot applicable
Domainnot available
GenreOther

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 routes1
Has abstractyes

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