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Record W4415222262 · doi:10.46697/001c.145139

Navigating Barriers and Opportunities: Indigenous-owned SMEs Driving Sustainable International Trade

2025· article· en· W4415222262 on OpenAlex
Sui Sui, Jesse Bull, Sreya Tahsin

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

VenueAIB Insights · 2025
Typearticle
Languageen
FieldBusiness, Management and Accounting
TopicInternational Business and FDI
Canadian institutionsUniversity of OttawaToronto Metropolitan University
Fundersnot available
KeywordsIndigenousReciprocity (cultural anthropology)Face (sociological concept)Sustainable developmentSustainabilityTrade barrier

Abstract

fetched live from OpenAlex

This paper examines the role of Indigenous-owned SMEs in promoting sustainable international trade amid global tensions. Drawing on firms in Canada, the U.S., Australia, and New Zealand, it shows how these businesses embed sustainability, cultural authenticity, and reciprocity into export strategies. At the same time, they face significant challenges, including financing barriers, infrastructure gaps, and regulatory hurdles. Practical insights are offered for policymakers to strengthen inclusive trade policies and support Indigenous participation, including cross-border Indigenous collaborations and targeted capacity-building initiatives. The study points to pathways for Indigenous SMEs to expand global engagement while advancing sustainable and inclusive trade systems.

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)0.000
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: Theoretical or conceptual · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.920
Threshold uncertainty score0.600

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0010.001
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 head0.013
GPT teacher head0.243
Teacher spread0.230 · 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