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Record W2104650269 · doi:10.22230/cjc.2014v39n2a2619

Social Media in Remote First Nation Communities

2014· article· en· W2104650269 on OpenAlexafffundvenueabout
Heather Molyneaux, Susan O’Donnell, Crystal Kakekaspan, Brian Walmark, Philipp Budka, Kerri Gibson

Bibliographic record

VenueCanadian Journal of Communication · 2014
Typearticle
Languageen
FieldSocial Sciences
TopicSocial Media and Politics
Canadian institutionsUniversity of New Brunswick
FundersSocial Sciences and Humanities Research Council of Canada
KeywordsSocial connectednessIndigenousThe InternetSociologyCommunity resilienceResilience (materials science)Social mediaInterpersonal tiesPsychological resiliencePublic relationsPolitical scienceSocial psychologySocial sciencePsychologyEngineeringWorld Wide Web

Abstract

fetched live from OpenAlex

ABSTRACT Community resilience in First Nations includes ties to people both inside and outside the community, intergenerational communication, the sharing of stories, and family and community connectedness. This study, based on a survey of Internet users in the Sioux Lookout region of Northwestern Ontario, explores the link between social networking sites and community resilience. The region is home to some of the most isolated First Nation (indigenous) communities in Canada. Cultural and familial links between these communities are strong, yet until recent use of the Internet, maintaining regular communications to strengthen cultural ties was challenging. This study examines the links between travel and communication online, the ways in which social media are used to preserve culture and maintain communication, and the implications of social networking for community resilience.

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)0.001
Version: codex-gemma-dda1882f352aValidation 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 score0.773
Threshold uncertainty score0.826

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.000
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0000.000
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 head0.321
Teacher spread0.230 · 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 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

Citations45
Published2014
Admission routes4
Has abstractyes

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