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Record W7095084748

The Innovation Journal: The Public Sector Innovation Journal, 17(3), 2012, article 12. Book Review

2013· article· en· W7095084748 on OpenAlexaboutno aff

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldArts and Humanities
TopicHistorical Studies on Reproduction, Gender, Health, and Societal Changes
Canadian institutionsnot available
Fundersnot available
KeywordsDoctrineMillerPossession (linguistics)Economic JusticeMeaning (existential)SovereigntyTribePolitics
DOInot available

Abstract

fetched live from OpenAlex

in Portland, Oregon, as well as being Chief Justice of the Court of Appeals for the Confederated Tribes of the Grande Ronde Community of Oregon, is a citizen of the Eastern Shawnee Tribe of Oklahoma. In this book, he moves outside of the Eurocentric paradigm of conventional legal reasoning characterizing so much of U.S. and Canadian notions of real property. Miller presents a tightly written challenge to five hundred years of this tradition. He argues (p.175) that American history and law can take on a richer meaning and understanding within the contexts of the legal background and justifications for many historical, law related and political principles. This reviewer argues that the same observations are as true of Canada and other colonial states as they are of the U.S.A. In both the U.S.A. and Canada, the Doctrine of Discovery was explicit— finders, keepers. Although Miller’s book is six years old, it carries some messages of current application not only for the U.S.A., but also for Canada. Beginning with popes in the 11 th century, the Doctrine of Discovery was widely understood by the time North America was being invaded and occupied by Europeans. England initially claimed sovereign possession of most of the continent, assuring that land titles came directly from the King’s grace. Batt continues: Miller outlines ten elements to the Doctrine of Discovery (pp. 6 – 8):

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)0.001
metaresearch head score (Gemma)0.006
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: Not applicable
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.074
Threshold uncertainty score0.248

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.006
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0040.012
Science and technology studies0.0020.002
Scholarly communication0.0130.007
Open science0.0010.002
Research integrity0.0050.004
Insufficient payload (model declined to judge)0.0740.042

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 head0.114
GPT teacher head0.281
Teacher spread0.167 · 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
GenreReview

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
Published2013
Admission routes1
Has abstractyes

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