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Administration in a national aboriginal organization: Impacts of cultural adaptations

2008· article· en· W2052779873 on OpenAlexaboutno aff
Mike DeGagné

Bibliographic record

VenueCanadian Public Administration · 2008
Typearticle
Languageen
FieldSocial Sciences
TopicIndigenous Health, Education, and Rights
Canadian institutionsnot available
Fundersnot available
KeywordsMandateFoundation (evidence)Context (archaeology)AccountabilityGovernment (linguistics)Public administrationAdministration (probate law)Political scienceGeographyLaw

Abstract

fetched live from OpenAlex

Abstract: The Aboriginal Healing Foundation, established in 1998, is a self‐governing organization that administers a $350‐million fund for community initiatives across Canada to heal the legacy of physical and sexual abuse in Indian residential schools, including inter‐generational impacts. The foundation is required to adhere to terms of a funding agreement with the federal government, reporting to Indian Residential Schools Resolution Canada, Indian and Northern Affairs Canada. Drawing on the Aboriginal Healing Foundation's final report on its first mandate, 1998–2005, this article details adaptations of administrative practice introduced by the foundation, with the objective of clarifying how respect for cultural context can be implemented while maintaining high standards of administrative practice. Modified approaches and their impacts are examined in terms of effectiveness, efficiency and accountability.

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)0.024
metaresearch head score (Gemma)0.044
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 score0.949
Threshold uncertainty score0.924

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0240.044
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.001
Bibliometrics0.0010.002
Science and technology studies0.0180.015
Scholarly communication0.0070.002
Open science0.0030.011
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 head0.029
GPT teacher head0.327
Teacher spread0.297 · 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

Citations5
Published2008
Admission routes1
Has abstractyes

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