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Record W4377966544 · doi:10.32920/23153600

Some Things Never Change: An Interactive Guide to Online White Supremacy

2023· preprint· en· W4377966544 on OpenAlexaff
Meghan Boisjoli

Bibliographic record

Venuenot available
Typepreprint
Languageen
FieldArts and Humanities
TopicMedia, Religion, Digital Communication
Canadian institutionsUniversity of Winnipeg
Fundersnot available
KeywordsWhite supremacyIndoctrinationWhite (mutation)AnonymityIdeologyOrder (exchange)AvatarPublic relationsSociologySocial psychologyMedia studiesPsychologyPolitical scienceGender studiesLawRacismPoliticsArtBusiness

Abstract

fetched live from OpenAlex

<p>White supremacy and its values are not new, but the ways they recruit are ever-changing. These communities have found places to thrive online and, shrouded in anonymity, have developed new and sinister ways of attracting new members to their ideology. While it is certainly an uncomfortable topic, it is important to understand how these groups work, recruit and communicate with one another in order to understand how to quell their activity and influence. Through a combination of leaked Discord server chats, personal indoctrination stories and academic studies, this interactive fiction project will seek to make the tactics employed by white supremacists clear and easily understood, by allowing the player to experience the deterioration of relationships encouraged in white supremacist groups, and engage with a breadth of research in-game.</p>

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)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Insufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.547
Threshold uncertainty score1.000

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 communication0.0010.005
Open science0.0010.002
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0010.001

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 head0.152
GPT teacher head0.357
Teacher spread0.205 · 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.

Study designNot applicable
Domainnot available
GenreOther

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

Citations0
Published2023
Admission routes1
Has abstractyes

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