MétaCan
Menu
Back to cohort
Record W2808199013 · doi:10.1177/1206331218776188

Colonizing Pepe: Internet Memes as Cyberplaces

2018· article· en· W2808199013 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

VenueSpace and Culture · 2018
Typearticle
Languageen
FieldSocial Sciences
TopicDigital Games and Media
Canadian institutionsUniversity of Alberta
Fundersnot available
KeywordsThe InternetSociologyDeterritorializationIdeologyAgency (philosophy)Meaning (existential)Media studiesSpace (punctuation)World Wide WebAestheticsEpistemologyPoliticsComputer sciencePolitical scienceArtSocial scienceLawPhilosophy

Abstract

fetched live from OpenAlex

This article explores the Pepe the Frog Internet meme through a spatial approach that targets the ways in which netizens attempt to repurpose it, so as to build a communal space in which meaning is constantly negotiated and hijacked. We argue that Pepe the Frog and other memes can be interpreted as “cyberplaces” defined as computer environments that display the ideological polemics between netizens as they struggle to build a sense of community. Moreover, the rhizomatic stratification of such cyberplaces reveals a more nuanced view of meme dynamics, one that takes into account the agency of users as they efface and impose meanings on memes, not unlike the process of deterritorialization enacted on places.

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)0.000
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: Not applicable
GenreCandidate signal: Other · Consensus signal: none
Teacher disagreement score0.466
Threshold uncertainty score0.355

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)0.0000.000

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 head0.011
GPT teacher head0.294
Teacher spread0.284 · 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