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Record W7034540272

A tale of two countries: a comparative study of the struggle for indigenous rights and the long road to reconciliation in Australia and Canada.

2019· other· en· W7034540272 on OpenAlexaboutno aff

Bibliographic record

VenueLeiden Repository (Leiden University) · 2019
Typeother
Languageen
FieldEarth and Planetary Sciences
TopicMarine Biology and Ecology Research
Canadian institutionsnot available
Fundersnot available
KeywordsIndigenousMulticulturalismCitizenshipAgency (philosophy)Indigenous rightsMeaning (existential)Element (criminal law)Land rightsEthnic groupHuman rights
DOInot available

Abstract

fetched live from OpenAlex

The ongoing debate in Canadian and Australian societies about the meaning of multiculturalism and the associated discussion of belonging, citizenship and national culture cannot be divorced from the consideration of a major social element in both societies: the original inhabitants of the territories prior to their colonization by the European settlers. This group of people, which over the course of the national histories of these two countries was reduced to the status of minority on its own ancestral land , has since the early 1960s demonstrated increased agency by mounting a campaign of political, cultural, economic and social mobilization to reclaim its rights, most notably through the recognition of sovereignty, and to re-negotiate its relationship with the settler majority societies. The outcome of this mobilization is often portrayed in an interesting account that shows Canada to have gone further than Australia in the accommodation of indigenous rights and the righting of the historical injustices towards them. This thesis will be an attempt to reassess the veracity of this portrayal through a comparative study of the struggle for indigenous rights in both countries.

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)0.002
metaresearch head score (Gemma)0.007
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.069
Threshold uncertainty score0.501

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.007
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0030.007
Science and technology studies0.0300.010
Scholarly communication0.0070.003
Open science0.0020.006
Research integrity0.0020.003
Insufficient payload (model declined to judge)0.0040.000

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 head0.015
GPT teacher head0.234
Teacher spread0.219 · 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 designQualitative
Domainnot available
GenreEmpirical

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
Published2019
Admission routes1
Has abstractyes

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