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Record W7023947339

Representing the Reprehensible: Fairy Tales, News Stories & the Monstrous Karla Homolka

2006· article· en· W7023947339 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.

aboutThe title or abstract carries a Canadian signal from the geographic lexicon.
no affNo Canadian affiliation: this work is invisible to an affiliation-only frame.
No Canadian affiliation. An affiliation-only frame, the usual design, would never have seen this work. It is one of the works that make the case for inverting the frame.

Bibliographic record

VenueJournals @ The Mount (Mount Saint Vincent University) · 2006
Typearticle
Languageen
FieldComputer Science
TopicMultimodal Machine Learning Applications
Canadian institutionsnot available
Fundersnot available
KeywordsMeaning (existential)PersonalityPublic discourseLove story
DOInot available

Abstract

fetched live from OpenAlex

Fairy tales and news stories are not often linked; however, in many news stories, Canadian media depicted Karla Homolka as both passive princess and evil witch. This paper argues journalists used aspects of popularized fairy tales to shape and give meaning to Homolka's life, personality and crimes, and these constructs created a discourse that limited, liberated and ultimately problematised the public's conception of Homolka. Résumé Les contes de fées et les nouvelles histoires ne sont pas souvent reliés, cependant, les media canadiens ont peint Karla Homolka comme étant à la fois une princesse passive et une mauvaise sorcière. Cet article discute de la façon dont les journalistes se sont servis des aspects des contes de fées popularisés pour façonner et donner une signification à la vie, à la personnalité et aux crimes d'Homolka, et ces constructions mentales ont crée une dissertation qui limita, libéra, et ultimement problématisa la conception que le public a d'Homolka.

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 categoriesScience and technology studies
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.934
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.002
Science and technology studies0.0030.000
Scholarly communication0.0010.001
Open science0.0040.001
Research integrity0.0000.001
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 head0.012
GPT teacher head0.229
Teacher spread0.217 · 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