MétaCan
Menu
Back to cohort

Social Media and the Idle No More Movement: Citizenship, Activism and Dissent in Canada

2014· article· en· W6910210289 on OpenAlexaboutno aff

Bibliographic record

VenuePUB – Publications at Bielefeld University (Bielefeld University) · 2014
Typearticle
Languageen
FieldSocial Sciences
TopicEducator Training and Historical Pedagogy
Canadian institutionsnot available
Fundersnot available
KeywordsDissentCitizenshipIndigenousIdleSocial mediaSocial activismDemonstrativeCivicsCitizenship education

Abstract

fetched live from OpenAlex

This paper, informed by a critique of traditional understandings of citizenship and civic education, explores the use of social media as a means of fostering activism and dissent. Specifically, the paper explores the ways in which the Idle No More Movement, which began in Canada in 2012 marshalled social media to educate about and protest Bill C-45, an omnibus budget bill passed by the Federal Government. The paper argues that Idle No More is demonstrative of young people’s commitments to social change and willingness to participate in active forms of dissent. As such, it presents opportunities for fostering ethically engaged citizenship through greater knowledge and awareness of Indigenous issues in Canada, which necessarily requires an understanding of the historical and contemporary legacies of colonialism that continually position First Nations, Métis, and Inuit peoples as ‘lesser’ citizens. Finally, the paper suggests that the example of Idle No More stands in contrast to the notion of a “civic vacuum” that is often used to justify the re-entrenchment of traditional civic education programs in schools and as such, can be used as a pedagogic tool to teach for and about dissent.

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)0.005
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 score0.099
Threshold uncertainty score0.718

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.005
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0020.004
Science and technology studies0.0320.016
Scholarly communication0.0090.002
Open science0.0010.006
Research integrity0.0020.003
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 head0.036
GPT teacher head0.245
Teacher spread0.209 · 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

Citations2
Published2014
Admission routes1
Has abstractyes

Explore more

Same venuePUB – Publications at Bielefeld University (Bielefeld University)Same topicEducator Training and Historical PedagogyFrench-language works237,207