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Record W2024358345 · doi:10.1017/s0008423906289996

Aboriginal Conditions: Research as a Foundation for Public Policy

2006· article· en· W2024358345 on OpenAlexaffabout
Shauna Wilton

Bibliographic record

VenueCanadian Journal of Political Science · 2006
Typearticle
Languageen
FieldHealth Professions
TopicIndigenous Studies and Ecology
Canadian institutionsUniversity of Alberta
Fundersnot available
KeywordsFoundation (evidence)Public policyGovernment (linguistics)MaximPublic administrationPolitical scienceEmpirical researchSovereigntyOrder (exchange)SociologyPolicy developmentPublic relationsLawPoliticsEconomicsEpistemology

Abstract

fetched live from OpenAlex

Aboriginal Conditions: Research as a Foundation for Public Policy, Jerry P. White, Paul S. Maxim and Dan Beavon, eds., Vancouver: UBC Press, 2003, pp. 285. The situation of Aboriginal people in Canada deserves close attention from academic researchers and policy makers. While it is important to explore the larger questions of self-government, sovereignty, and land claims, it is also necessary to conduct research based on the current reality of Aboriginals in order to develop relevant and effective strategies. This collected volume of essays brings together researchers and policy makers in an attempt to provide an empirical foundation for building better policy and better communities for Aboriginal peoples in Canada. The research itself is structured around two central questions: What is the situation? How has it developed? The effort to answer these questions provides a substantial basis for future development and initiatives.

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)0.033
metaresearch head score (Gemma)0.035
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 score0.951
Threshold uncertainty score0.824

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0330.035
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0020.001
Bibliometrics0.0040.007
Science and technology studies0.0140.061
Scholarly communication0.0210.015
Open science0.0030.009
Research integrity0.0110.011
Insufficient payload (model declined to judge)0.0070.001

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 head0.126
GPT teacher head0.533
Teacher spread0.406 · 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

Citations3
Published2006
Admission routes2
Has abstractyes

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Same venueCanadian Journal of Political ScienceSame topicIndigenous Studies and EcologyFrench-language works237,207