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Record W1547441292 · doi:10.15353/joci.v10i2.2662

Settler Colonialism and First Nations e-Communities in Northwestern Ontario

2013· article· en· W1547441292 on OpenAlexaffvenueabout
Brian Beaton, Peter Campbell

Bibliographic record

VenueThe Journal of Community Informatics · 2013
Typearticle
Languageen
FieldSocial Sciences
TopicIndigenous Health, Education, and Rights
Canadian institutionsUniversity of New Brunswick
Fundersnot available
KeywordsColonialismPosition (finance)Political scienceLocal communityPsychological resilienceResilience (materials science)First nationEconomic growthBusinessEconomicsLawEcology

Abstract

fetched live from OpenAlex

Across Canada First Nation community leaders are adopting the e-Community approach for their local broadband development. E-Community is fueled by the desire of First Nations to own, control, and manage their local infrastructure and online services. The paper develops the concept of the importance of locally owned and managed telecommunication infrastructure supporting First Nation e-Community and local resilience. The First Nations e-Community framework provides choices for local people to remain in their communities and contribute to the growth and positive development in these challenging environments. The First Nations' struggle against settler colonialism to access their lands and resources by the colonial governments and their corporate partners continues today. Strong, resilient First Nations are now in a position to influence and support outcomes that benefit themselves, the lands and others in a positive manner.

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)0.001
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: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.051
Threshold uncertainty score0.368

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.004
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.002
Science and technology studies0.0190.005
Scholarly communication0.0040.001
Open science0.0010.004
Research integrity0.0000.001
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 head0.027
GPT teacher head0.288
Teacher spread0.261 · 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

Citations13
Published2013
Admission routes3
Has abstractyes

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