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Record W1665923429

From Digital Divides to the First Mile: Indigenous Peoples and the Network Society in Canada

2014· article· en· W1665923429 on OpenAlexaffabout
Rob McMahon

Bibliographic record

VenueDOAJ (DOAJ: Directory of Open Access Journals) · 2014
Typearticle
Languageen
FieldSocial Sciences
TopicSocial Media and Politics
Canadian institutionsUniversity of New Brunswick
Fundersnot available
KeywordsIndigenousDialecticColonialismNetwork societyBridging (networking)SociologyContext (archaeology)Political scienceMedia studiesGeographyComputer scienceSocial scienceComputer securityEpistemologyLaw
DOInot available

Abstract

fetched live from OpenAlex

Indigenous peoples interact with the emergent network society in diverse ways that reflect the colonialism/self-determination dialectic. One area where this process unfolds is in the bridging of digital divides. I use the concept of the First Mile to show how First Nations and Inuit peoples in Canada’s geographic periphery are asserting their self-determination in the sphere of digital ICTs. While most digital divide literature presumes that a connection to the network society is inherently beneficial, when framed in the context of historic and ongoing processes of colonialism, integration alone is not adequate. An example of a not-for-profit satellite network cooperative demonstrates how three Indigenous organizations shaped the problem of the digital divide into an opportunity to establish a platform for digital self-determination.

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 score0.139
Threshold uncertainty score0.999

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.004
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0020.004
Science and technology studies0.0500.021
Scholarly communication0.0110.004
Open science0.0020.009
Research integrity0.0020.003
Insufficient payload (model declined to judge)0.0050.000

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 head0.107
GPT teacher head0.467
Teacher spread0.361 · 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

Citations20
Published2014
Admission routes2
Has abstractyes

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