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Record W1902148784 · doi:10.1017/cha.2015.6

Should Governments be Above the Law? The Canadian Human Rights Tribunal on First Nations Child Welfare

2015· article· en· W1902148784 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.
aboutThe title or abstract carries a Canadian signal from the geographic lexicon.

Bibliographic record

VenueChildren Australia · 2015
Typearticle
Languageen
FieldSocial Sciences
TopicMulticultural Socio-Legal Studies
Canadian institutionsAssembly of First NationsUniversity of Alberta
Fundersnot available
KeywordsTribunalStatuteHarmHuman rightsWelfareGovernment (linguistics)LawPolitical scienceChild protectionInternational human rights lawPublic administration

Abstract

fetched live from OpenAlex

Many child welfare statutes protect children when caregivers jeopardise their safety and best interests, but what if the risk is sourced in government child welfare policy or practice? Instead of including provisions to hold governments accountable for placing children in harm's way, governments and their agents are largely protected against any systemic maltreatment claims made against them. This paper describes a precedent-setting case before the Canadian Human Rights Tribunal attempting to hold the Canadian federal government accountable for its systemic failure to ensure that First Nations children are protected from maltreatment linked to inequitable federal child welfare funding on reserves. The case is a rare example using an independent judicial mechanism with the authority to make binding orders against the government and enveloping the proceedings in a public education and engagement movement. Implications of the case for child rights in Canada and abroad are discussed.

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.

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 categoriesScience and technology studies
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.885
Threshold uncertainty score0.975

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 studies0.0270.001
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 head0.095
GPT teacher head0.349
Teacher spread0.254 · 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