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Record W1545010017

“There’s no fixed course”: Rhizomatic learning communities in adolescent videogaming

2011· article· en· W1545010017 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueLoading... · 2011
Typearticle
Languageen
FieldSocial Sciences
TopicDigital Games and Media
Canadian institutionsUniversity of Victoria
Fundersnot available
KeywordsMetaphorIdentity (music)Qualitative researchSociologyCourse (navigation)PedagogyLife course approachPsychologyCognitive scienceAestheticsSocial psychologySocial scienceEngineeringArt
DOInot available

Abstract

fetched live from OpenAlex

The following paper examines how adolescent gamers’ experiences reveal the complex learning systems in which they contribute, create, and participate, troubling the idea of what “gamer” means altogether. We begin by situating ourselves in a complexity science framework, then move to the ways in which Deleuze and Guattari’s (1987) rhizome metaphor supplements our thinking about complex systems, providing a more comprehensive stance from which to understand gaming and learning communities. Drawing from the first four years of our qualitative research, we then provide examples that there is “no fixed course” in gaming, and that our participants actively blur the boundaries of the following traditional identity categories: producer/consumer, teacher/learner, and individual/collective.

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.

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)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.733
Threshold uncertainty score0.699

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
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)0.0010.000

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 head0.055
GPT teacher head0.289
Teacher spread0.234 · 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