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Record W4396983280 · doi:10.69520/jipe.v5i.151

Indsights: A Window into the Indigenous Economy

2023· article· en· W4396983280 on OpenAlex
Audrey Wubbenhorst, James Henebry, Patrycja Szkudlarek

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 innovation in polytechnic education. · 2023
Typearticle
Languageen
FieldSocial Sciences
TopicIndigenous Health, Education, and Rights
Canadian institutionsHumber Polytechnic
Fundersnot available
KeywordsIndigenousWindow (computing)Window of opportunityEconomyGeographyEconomic geographyEconomicsWorld Wide WebEcologyBiologyEngineeringComputer science

Abstract

fetched live from OpenAlex

In 2020, Indsights: A Window into the Indigenous Economy began as a collaboration between the Canadian Council for Aboriginal Business (CCAB) and Humber College. The purpose is to highlight the contributions of Indigenous peoples to the economy through open educational resources in the form of case studies. Indigenous business owners are invited to participate in a qualitative interview to discuss their entrepreneurial journeys, which are then developed into multimedia case studies. Each entrepreneur plays an active role in the creation of their respective study and has the opportunity to provide feedback and input. Indsights aims to publish 15 case studies online, each including an interview video, written component, and teaching notes. In doing so, this initiative offers learners a wealth of accessible online resources filling a gap in available content on Indigenous entrepreneurs.

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)0.005
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesScience and technology studies
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.884
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0050.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0020.006
Science and technology studies0.0030.000
Scholarly communication0.0000.001
Open science0.0010.000
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 head0.330
Teacher spread0.313 · 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