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Record W3123311483 · doi:10.1016/j.jfo.2021.08.005

The Stolen Generation: Canadian and Australian Approaches to Fiduciary Duties

2003· article· en· W3123311483 on OpenAlexaboutno aff
Julie Cassidy

Bibliographic record

VenueSSRN Electronic Journal · 2003
Typearticle
Languageen
FieldSocial Sciences
TopicLegal principles and applications
Canadian institutionsnot available
Fundersnot available
KeywordsFiduciaryCommonwealthLawDutyDuty of careExtinguishmentSettlement (finance)TortEquity (law)Project commissioningPolitical scienceHigh CourtEconomic JusticeSociologyPublishingBusinessLiability

Abstract

fetched live from OpenAlex

The key purpose of this article is to critically evaluate the recent Australian decisions in Cubillo & Gunner v. The Commonwealth that considered the fiduciary duties owed by the Commonwealth to the aboriginal claimants. The broader factual basis of the plaintS' causes of action was their removal from their families and subsequent detention as part of what is known as the stolen generation. is contended that it was arbitrary and illogical for the courts to deny equity's applicability to the subject case simply because there was an absence of an economic loss and the facts also gave rise to a tort relationship. It is suggested that the contrary line of authority in Canada is to be preferred. It is also contended that the relevant duties stemming from the Crown's general fiduciary relationship with the aboriginal peoples that arose out of settlement are not confined to protecting aboriginal interests in the extinguishment of aboriginal title. Rather it includes a general duty to act with care in the best interests of the aboriginal peoples. In turn, it is suggested that this duty may also have been breached through the removal and detention of part-aboriginal children.

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)0.005
metaresearch head score (Gemma)0.011
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: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.948
Threshold uncertainty score0.380

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0050.011
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0020.002
Science and technology studies0.0210.015
Scholarly communication0.0080.004
Open science0.0030.005
Research integrity0.0060.007
Insufficient payload (model declined to judge)0.0130.001

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 head0.089
GPT teacher head0.281
Teacher spread0.192 · 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
Published2003
Admission routes1
Has abstractyes

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