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Record W6982774975

Keewaytinook Mobile in Fort Severn First Nation

2011· article· en· W6982774975 on OpenAlexafffundvenue

Bibliographic record

VenueNPARC · 2011
Typearticle
Languageen
FieldSocial Sciences
TopicPolicing Practices and Perceptions
Canadian institutionsUniversity of New Brunswick
FundersSocial Sciences and Humanities Research Council of CanadaConcordia University
KeywordsFirst nationService (business)GSM
DOInot available

Abstract

fetched live from OpenAlex

Fort Severn First Nation is a remote fly-in Cree community on Hudson Bay. About 400 people live in the community, and their lifestyle reflects a deep respect for and connection to the land. In November 2009, Fort Severn and its tribal council, Keewaytinook Okimakanak, established Keewaytinook Mobile (KM) service in the community. KM, an innovative community-owned and managed GSM cellular and data service, is an example of self-determination applied to telecommunications. It is also the result of a number of strategic partnerships that came together to address local needs and priorities. This paper includes a review of the history of Keewaytinook Mobile and its implementation in Fort Severn First Nation, and a study of how and why community members are using or not using the service. The analysis is based on interviews with 42 community members conducted in March 2010 and a follow-up discussion with community members in November 2010. The paper discusses the challenges, opportunities and ways forward for KM in Fort Severn.

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)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.842
Threshold uncertainty score0.998

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0030.000

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 head0.120
GPT teacher head0.346
Teacher spread0.226 · 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.

Study designNot applicable
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

Citations0
Published2011
Admission routes3
Has abstractyes

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