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Record W4230859753 · doi:10.7765/9781526137333.00018

Conclusion

2018· book-chapter· en· W4230859753 on OpenAlexaboutno aff
Julie Evans, Patricia Grimshaw, David Philips, Shurlee Swain

Bibliographic record

VenueManchester University Press eBooks · 2018
Typebook-chapter
Languageen
FieldSocial Sciences
TopicCanadian Identity and History
Canadian institutionsnot available
Fundersnot available
KeywordsIndigenousParliamentSettlement (finance)Government (linguistics)White (mutation)VotingPolitical scienceFranchisePoliticsPower (physics)Indigenous rightsGeographyEthnologyGenealogyLawHistory

Abstract

fetched live from OpenAlex

This chapter concludes a study on the circumstances under which British settler colonists accorded or denied political rights to Indigenous peoples in Canada, Australia, New Zealand and South Africa from the 1830s to 1910. The developments discussed in the chapter show that while White settlers in all four countries gained powers of self-government and the vote, in none of these countries did the Indigenous peoples get fully equal powers. The processes by which these issues were fought out and negotiated in the four countries were very different, as were the outcomes. By the early twentieth century, the Maori of New Zealand had achieved the most in terms of access to conventional White parliamentary power – with both men and women enfranchised and Maori men able to sit in parliament and government – and Aborigines in Australia probably the least. Indigenous Canadians and South Africans (depending on the province in which they lived) had very limited voting rights, but were a very long way from anything approaching true equality. During the 1830s, in the British colonies of settlement, there was at least a theoretical assumption that British colonies did not enshrine any form of color bar excluding people on the grounds of race; yet, by 1910, all four countries had limited access to the franchise, to varying degrees, on racial criteria.

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)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.816
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.001
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0020.000

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 head0.026
GPT teacher head0.201
Teacher spread0.175 · 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
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
Published2018
Admission routes1
Has abstractyes

Explore more

Same venueManchester University Press eBooksSame topicCanadian Identity and HistoryFrench-language works237,207