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Record W4399127743 · doi:10.29173/jaed9

Transforming Indigenous Procurement: Empowerment, Challenges, and the Road Ahead

2024· article· en· W4399127743 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

VenueJournal of Aboriginal Economic Development · 2024
Typearticle
Languageen
FieldBusiness, Management and Accounting
TopicPublic Procurement and Policy
Canadian institutionsUniversity of ReginaUniversity of OttawaYork University
Fundersnot available
KeywordsIndigenousEmpowermentProcurementBusinessPolitical scienceEconomic growthEnvironmental planningGeographyMarketingEconomics

Abstract

fetched live from OpenAlex

The path toward economic reconciliation between Indigenous and non-Indigenous populations in Canada is a complex and vital journey that requires careful consideration of historical injustices and contemporary challenges. This paper focuses on the role of public procurement in addressing economic disparities and strengthening the nation-to-nation relationship between the Government of Canada and Indigenous communities. It provides an overview of public procurement's strategic importance, analyzes Indigenous federal procurement data from 2009 to May 2023 to identify trends and areas for improvement, and presents insights from a 2023 Indigenous procurement survey. Key findings emphasize the need to align Indigenous business capacities with procurement activities, promote inclusivity, and establish effective communication and mentorship programs. Implementing these recommendations can advance economic reconciliation and promote fairness within Canadian society.

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)0.002
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.987
Threshold uncertainty score0.579

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0010.002
Open science0.0000.000
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 head0.017
GPT teacher head0.256
Teacher spread0.239 · 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