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Cyber Misconduct: Who Is Lord of the Bullies?

2009· book-chapter· en· W182828654 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

VenueCambridge University Press eBooks · 2009
Typebook-chapter
Languageen
FieldComputer Science
TopicEducational Challenges and Innovations
Canadian institutionsMcGill University
Fundersnot available
KeywordsMisconductComputer securityCriminologyPsychologyCyber bullyingPolitical scienceComputer scienceLawWorld Wide WebThe Internet

Abstract

fetched live from OpenAlex

“Yo Jaysus, your ass is drippin,” says Max Lechuga. He's the stocky guy in class, you know the one. Fat, to be honest, with his inflatable mouth. “Stand clear of Jaysus' ass, the fire department lost another four men up there last night.” The Gurrie twins huddle around him, geeing him on…. The class detonates through its nose…. Jesus abandons his desk with a crash and runs from the room…. Then Max Lechuga gets out of his chair, and goes to the bank of computer terminals by the window. One by one, he activates the screen-savers. Pictures jump to the screen of Jesus naked, bent over a hospital-type gurney.(Pierre, 2003, pp. 231–233)

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: none
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.900
Threshold uncertainty score0.810

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 science0.0020.000
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 head0.041
GPT teacher head0.220
Teacher spread0.179 · 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