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Record W2621031630 · doi:10.5210/fm.v22i6.6901

The legend of the Slender Man: The boogieman of surveillance culture

2017· article· en· W2621031630 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

VenueFirst Monday · 2017
Typearticle
Languageen
FieldArts and Humanities
TopicFolklore, Mythology, and Literature Studies
Canadian institutionsQueen's University
Fundersnot available
KeywordsFolkloreLegendStorytellingSociologyArtifact (error)EthnographyAestheticsThe InternetCultural artifactVernacularMedia studiesAnthropologyHistoryArtNarrativePsychologyLiteratureWorld Wide WebComputer scienceArchaeology

Abstract

fetched live from OpenAlex

Western societies have developed a culture of surveillance that frames how social actors understand institutional and vernacular forms of “watching”. Through the intersection of folklore, anthropology, and sociology, I explore the performances of the Slender Man legend as a monstrous cultural artifact representative of cultural anxieties around surveillance, social control, and secretive agencies. This blend of disciplines will help illuminate central cultural fears and anxieties within Internet sub-cultural groups. My goal in this paper is to understand how participants of alternate reality games (ARGs) exhibit anxieties about ubiquitous surveillance through uncoordinated collective storytelling.

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 categoriesScience and technology studies
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.675
Threshold uncertainty score0.999

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 studies0.0030.002
Scholarly communication0.0000.000
Open science0.0010.000
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 head0.024
GPT teacher head0.239
Teacher spread0.215 · 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