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Record W1692170990 · doi:10.25916/sut.26275732

Strategic alliances in indigenous entrepreneurship contexts: a case study of the Scuzzy Creek Hydro Project

2008· article· en· W1692170990 on OpenAlexaboutno aff
Matthew Pasco, Everarda G. Cunningham

Bibliographic record

VenueSwinburne Research Bank (Swinburne University of Technology) · 2008
Typearticle
Languageen
FieldBusiness, Management and Accounting
TopicInnovation and Knowledge Management
Canadian institutionsnot available
Fundersnot available
KeywordsIndigenousProsperityMainstreamAllianceEntrepreneurshipAutonomyStrategic allianceValue (mathematics)Political scienceBusinessEconomic growthEcologyEconomics

Abstract

fetched live from OpenAlex

Indigenous communities throughout Canada and the world value their distinctive and varied heritages. They value both autonomy and cultural integrity. Nevertheless, in order to prosper in a highly competitive and globalised world, most Indigenous communities need to consider the issue of strategic alliances involving both other Indigenous communities and non-Indigenous people and organizations from the mainstream of the nation state. Combined with this desire for prosperity, Indigenous people and organizations have formed strategic alliances with non-Indigenous people and organizations in the attempt to advance the economic development of their communities. Indigenous communities also utilize strategic alliances to take back control of their territory and the resources within its territory. Therefore, these communities need to consider the twin issues of when and how to create appropriate strategic alliances in order to discover, evaluate and exploit entrepreneurial opportunities. This paper has one dominant aim: to critically examine the Scuzzy Creek Hydro Project (a strategic alliance between the Nlaka'pamux Nation and non-Indigenous partners) in light of both the mainstream strategic alliance literature and a range of Indigenous perspectives.

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 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)0.001
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: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.869
Threshold uncertainty score0.998

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0030.006
Science and technology studies0.0010.001
Scholarly communication0.0000.000
Open science0.0010.001
Research integrity0.0000.001
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 head0.091
GPT teacher head0.299
Teacher spread0.208 · 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 teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
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

Citations1
Published2008
Admission routes1
Has abstractyes

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