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Record W2125893832 · doi:10.1142/s1084946709001119

DEVELOPMENT CORPORATIONS IN ABORIGINAL COMMUNITIES: THE CANADIAN EXPERIENCE

2009· article· en· W2125893832 on OpenAlexaffabout
John Curry, Han Donker, Richard Krehbiel

Bibliographic record

VenueJournal of Developmental Entrepreneurship · 2009
Typearticle
Languageen
FieldBusiness, Management and Accounting
TopicCooperative Studies and Economics
Canadian institutionsUniversity of Northern British Columbia
Fundersnot available
KeywordsSustainabilityCorporate governancePoliticsBusinessEmpirical researchCorporate social responsibilityProcess (computing)Economic systemEconomicsPublic relationsPolitical science

Abstract

fetched live from OpenAlex

This study examines the historical development of corporate governance structures in First Nations communities in British Columbia, where development corporations are employed to assist privately-owned and community-owned entrepreneurial enterprises. First Nations entrepreneurial activity functions in an environment where business must market to a global economy while preserving traditional values, beliefs and other cultural elements. A brief history of First Nations and their enterprise development efforts is presented. Empirical research findings describe the close relationship between local community and corporate goals and identify conflicts of interest between political leaders and management of development corporations. The evidence demonstrates entrepreneurial success and economic development of First Nations communities rely on an independent decision-making process within business development corporations. An alternative business model is developed utilizing the empirical research, social enterprise literature and the unique regional cooperative model of the Mondragon region of Spain. The new model respects the land base and other environmental and social values while providing a framework for economic success. Exploration of this unique enterprise-to-region development model, which incorporates consideration for the natural environment and social and cultural values, offers lessons to other societies and regions that will assist in the movement toward an economic system based on concepts of sustainability.

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)0.002
metaresearch head score (Gemma)0.004
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: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.933
Threshold uncertainty score0.484

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.004
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0020.004
Science and technology studies0.0530.007
Scholarly communication0.0050.002
Open science0.0020.005
Research integrity0.0020.004
Insufficient payload (model declined to judge)0.0060.000

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 head0.038
GPT teacher head0.251
Teacher spread0.212 · 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

Citations19
Published2009
Admission routes2
Has abstractyes

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