MétaCan
Menu
Back to cohort
Record W6996290609

Review of <i>Discovering Indigenous Lands: The Doctrine of Discovery in the English Colonies</i> by Robert J. Miller, Jacinta Ruru, Larissa Behrendt, and Tracey Lindberg

2012· article· en· W6996290609 on OpenAlexaboutno aff

Bibliographic record

VenueLincoln (University of Nebraska) · 2012
Typearticle
Languageen
FieldHealth Professions
TopicMobile Health and mHealth Applications
Canadian institutionsnot available
Fundersnot available
KeywordsIndigenousDoctrineOpposition (politics)Indigenous rightsDeclarationEleventh
DOInot available

Abstract

fetched live from OpenAlex

The Doctrine of Discovery provides that colonizing European nations automatically acquired certain property, governmental, and commercial rights over Indigenous inhabitants. In recent years, Indigenous peoples, legal scholars, religious institutions, and nongovernmental organizations have pressed for official repudiation of the Doctrine. In 2007, the United Nations voted (over the initial opposition of Australia, Canada, New Zealand, and the United States) to adopt the Declaration on the Rights of Indigenous Peoples, which contains several provisions that acknowledge the rights of Indigenous peoples to their lands. In 2012, the UN Permanent Forum on Indigenous Peoples will devote its Eleventh Session to a study of the Doctrine of Discovery and its enduring impact.

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)0.006
metaresearch head score (Gemma)0.019
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 score0.021
Threshold uncertainty score0.043

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0060.019
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0060.008
Science and technology studies0.0010.004
Scholarly communication0.0040.005
Open science0.0020.002
Research integrity0.0040.005
Insufficient payload (model declined to judge)0.0040.002

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.

Opus teacher head0.016
GPT teacher head0.315
Teacher spread0.298 · 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
Published2012
Admission routes1
Has abstractyes

Explore more

Same venueLincoln (University of Nebraska)Same topicMobile Health and mHealth ApplicationsFrench-language works237,207