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Record W4401809625 · doi:10.55016/ojs/sppp.v15i1.75215

Indigenous Land Rights in Australia: Lessons for a Canadian Northern Corridor

2022· article· en· W4401809625 on OpenAlexaboutno aff
Sharon Mascher

Bibliographic record

VenueThe School of Public Policy Publications · 2022
Typearticle
Languageen
FieldEngineering
TopicMining and Resource Management
Canadian institutionsnot available
Fundersnot available
KeywordsIndigenousLand rightsGeographyIndigenous rightsEnvironmental planningSocioeconomicsEnvironmental protectionPolitical scienceSociologyEcology

Abstract

fetched live from OpenAlex

The Canadian Northern Corridor (CNC) research project is currently exploring the concept of creating a pan-Canadian infrastructure corridor consisting of a multi-modal (road, rail, pipeline, electrical transmission and communication) transportation right-of-way traversing Canada’s north and near north. With a goal of connecting Canada from north to south and coast to coast to coast, the CNC, and particularly any infrastructure built within it, would necessarily directly and indirectly affect a significant number of Indigenous communities and a diverse range of constitutionally protected rights and interests. As Canada commits to implementing the United Nations Declaration on the Rights of Indigenous Peoples (UNDRIP), the CNC must be conceptualized in a manner that ensures respect for the rights and interests of Indigenous communities along the corridor if it is to be a forward-looking, nation-building project.

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)0.007
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.060
Threshold uncertainty score0.437

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0050.007
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.002
Science and technology studies0.0230.015
Scholarly communication0.0100.007
Open science0.0020.006
Research integrity0.0030.007
Insufficient payload (model declined to judge)0.0080.000

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 head0.041
GPT teacher head0.278
Teacher spread0.237 · 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 designNot applicable
Domainnot available
GenreOther

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
Published2022
Admission routes1
Has abstractyes

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