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Record W2776936526 · doi:10.1093/ahr/122.5.1598

Miranda Johnson. The Land Is Our History: Indigeneity, Law, and the Settler State.

2017· article· en· W2776936526 on OpenAlexaboutno aff
Barry Morris

Bibliographic record

VenueThe American Historical Review · 2017
Typearticle
Languageen
FieldArts and Humanities
TopicHistorical Studies and Socio-cultural Analysis
Canadian institutionsnot available
Fundersnot available
KeywordsIndigenousState (computer science)ColonialismPoliticsContext (archaeology)Legal historyIndigenous rightsValue (mathematics)LawHistorySociologyEthnologyGenealogyPolitical scienceArchaeologyEcology

Abstract

fetched live from OpenAlex

One of the most important contributions of Miranda Johnson’s The Land Is Our History: Indigeneity, Law, and the Settler State is to invigorate the value of “comparative history.” Johnson demonstrates the importance of the legal and political context that accompanied reconciling a colonial past with a continuing Indigenous present. Her book sets out the beginnings of new practices, representations, and relationships in settler states, where Indigenous peoples were once deemed to be fated to vanish from the social and cultural landscape. Johnson provides a careful comparison of the beginnings of contemporary struggles across the colonial settler geographies of Australia, Canada, and New Zealand. The book is an important source of insight into the differences and legal connectivities between three settler states that shared British common-law traditions. The book is well written, and six chapters set out the distinct struggles to recognize claims to preexisting Indigeneity in these liberal democracies. Indigeneity refers here specifically to retroactive legal claims to the territory of ancestors dispossessed by settler colonists. Johnson’s focus is not an exhaustive history of Indigenous rights in settler states, but rather an exploration of a number of seminal events in the emergence and revitalization of struggles for contemporary rights.

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 distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesScience and technology studies
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Review · Consensus signal: none
Teacher disagreement score0.499
Threshold uncertainty score0.993

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0080.002
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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 head0.047
GPT teacher head0.264
Teacher spread0.217 · 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 teacher head, not a consensus.

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
Published2017
Admission routes1
Has abstractyes

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