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Record W7161974366 · doi:10.82308/50485

Advancing the right to education for First Nations children: Lessons in administrative dialogue from the South African constitutional experience

2018· dissertation· en· W7161974366 on OpenAlexaboutno aff
Scott Whitelaw

Bibliographic record

Venuenot available
Typedissertation
Languageen
FieldSocial Sciences
TopicLegal Issues in South Africa
Canadian institutionsnot available
Fundersnot available
KeywordsHuman rightsCharterFundamental rightsHuman rights educationInternational human rights lawDemocracyEnforcementConstitution

Abstract

fetched live from OpenAlex

As First Nations people in Canada look to advance their right to the non-discriminatory provision of public primary and secondary education services under the Canadian Human Rights Act, lessons from the post-apartheid South African experience with socio-economic rights litigation can serve to inform institutional dialogue and democratic deliberation surrounding the realization and enforcement of the right, and help to create a space for reconciliation between Indigenous and non-Indigenous Canadians. Inadequate and discriminatory funding of First Nations education remains a live issue for courts and administrative decision-makers in Canada, and this thesis adopts a comparative approach to contrast the South African socio-economic rights model with existing Canadian administrative mechanisms to advance the right to education and promote broad-based dialogue between state and non-state actors. In Chapter 1, the thesis examines the existing legal framework in which to advance the right to education under international, Canadian, and South African law. Although the Canadian Charter of Rights and Freedoms does not enshrine a generalized right to education as found in the Constitution of the Republic of South Africa, it can nonetheless be said to find domestic expression in the service provision clause of the quasi-constitutional Canadian Human Rights Act. In Chapter 2, the thesis adopts a dialogic perspective to examine challenges and opportunities surrounding the realization of the right to education for First Nations people under administrative law mechanisms. In anticipation of a justiciable, constitutionalized right, quasi-constitutional administrative law provides a compelling venue in which to challenge the inferior quality and differential funding of education services for First Nations children on reserve. The South African experience with the principles of reasonableness and fundamental values is juxtaposed with the requirement in Canada for administrative-decision makers, and reviewing courts, to consider Charter values. This could shape the role of administrative law mechanisms in determining the reasonableness of state funding of education services on reserve, and lay the groundwork for a more dialogue-rich quasi-constitutional venue for human rights claims. In Chapter 3, the thesis examines the bounds of remedial orders to address and enforce the right to education in both a Canadian and South African context, where judicial efforts towards democratic deliberation in the form of systemic relief has challenged the dialogue between state actors. In light of inevitable jurisdictional tensions between the various branches of government, and in an effort to nurture the important institutional dialogue between these bodies surrounding the right to education, the Canadian Human Rights Tribunal can aspire to be bold and innovative when fashioning remedial orders to foster broad-based participation among actors and effect real change in the lives of First Nations 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)0.019
metaresearch head score (Gemma)0.012
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 score0.433
Threshold uncertainty score0.861

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0190.012
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0020.002
Science and technology studies0.0490.071
Scholarly communication0.0160.010
Open science0.0020.011
Research integrity0.0060.014
Insufficient payload (model declined to judge)0.0050.000

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 head0.372
Teacher spread0.346 · 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
Published2018
Admission routes1
Has abstractyes

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