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Record W7133442723

Richard Price, Empire and Indigeneity: Histories and Legacies, Abingdon, Oxon; New York, NY: Routledge, 2021, pbk, ISBN: 9780367565794, 372 + pp, $59.19.

2022· article· en· W7133442723 on OpenAlexaboutno aff
Guy C Charlton

Bibliographic record

VenueRUNE (Research UNE) · 2022
Typearticle
Languageen
FieldSocial Sciences
TopicAustralian History and Society
Canadian institutionsnot available
Fundersnot available
KeywordsEmpireMoralityContingencyMeaning (existential)IndigenousOrder (exchange)
DOInot available

Abstract

fetched live from OpenAlex

History is often written backwards. We look for order and meaning in the past to make sense of some present-day problem or issue. But this method of looking at history varnishes over the contingency and agency, indeed the very haphazardness of the actual past. Richard Price has provided a valuable window into this history in his discussion of Indigenous-state relations in Australia and New Zealand in the 19th century. Price has written a fascinating account of the humanitarian moment in the British Empire when Christian moralism and policy making across the British empire converged over the issue of the treatment of Indigenous peoples in the Australian, New Zealand, Canadian and South African colonies. He focuses on the mentalities and policies that inform this project in a manner that gives an intellectual and ethical heft to historic law and policies that are often simply described and justified as directed at restraining settler violence in the literature.

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)0.004
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 score0.044
Threshold uncertainty score0.088

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.004
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0030.005
Science and technology studies0.0020.008
Scholarly communication0.0050.012
Open science0.0010.002
Research integrity0.0030.003
Insufficient payload (model declined to judge)0.0240.004

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 head0.120
GPT teacher head0.363
Teacher spread0.243 · 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
Published2022
Admission routes1
Has abstractyes

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