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Record W4289217251 · doi:10.3138/jeunesse.10.2.126

Anarchist Youth in Rural Canada: Technology, Resistance, and the Navigation of Space

2018· article· en· W4289217251 on OpenAlexvenueaboutno aff
Jayne Malenfant

Bibliographic record

VenueJeunesse Young People Texts Cultures · 2018
Typearticle
Languageen
FieldSocial Sciences
TopicAnarchism and Radical Politics
Canadian institutionsnot available
Fundersnot available
KeywordsEthnographyPoliticsSociologyPrecarityPolitical activismResistance (ecology)Youth studiesOnline and offlineSpace (punctuation)Media studiesSocial movementGender studiesPhysical spacePublic relationsPolitical scienceAnthropologyGeographyLaw

Abstract

fetched live from OpenAlex

How do young people navigate the intersections of transnational forms of technology and local political organizing? This ethnographic research asks how anarchist, activist youth in rural Canada are constructing politically meaningful spaces both online and offline. I think closely on the creation of, and play with, physical, symbolic, and social boundaries and texts (through online forums and the creation of zines), as well as how physical and online activism networks were created outside urban centres. In addition to analyzing the different strategies these youth mobilized to express their political identities and activism, both in rural Canada and within different online forums, I explore in particular how anarchist youth create and maintain global networks in reaction to their experiences of social, economic, and political precarity in national and transnational climates.

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)0.002
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 score0.036
Threshold uncertainty score0.183

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0020.002
Science and technology studies0.0220.011
Scholarly communication0.0070.002
Open science0.0010.003
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0040.000

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 head0.006
GPT teacher head0.260
Teacher spread0.255 · 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

Citations1
Published2018
Admission routes2
Has abstractyes

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