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Record W2994268587 · doi:10.22215/etd/2013-09928

Incorrigible While Incarcerated: Topic Modeling Mainstream Canadian News Depictions of Ashley Smith

2013· dissertation· en· W2994268587 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.
aboutThe title or abstract carries a Canadian signal from the geographic lexicon.

Bibliographic record

Venuenot available
Typedissertation
Languageen
FieldSocial Sciences
TopicComputational and Text Analysis Methods
Canadian institutionsCarleton University
Fundersnot available
KeywordsNewspaperMainstreamMedicalizationGlobeMedia studiesPrisonTerminologyMental illnessNews mediaHistoryCriminologyPsychologySociologyMental healthPolitical sciencePsychiatryLaw

Abstract

fetched live from OpenAlex

Ashley Smith, who is typically presented in the media as mentally ill, was nineteen years old when she died from self-strangulation in an Ontario women's prison on October 19 th , 2007. In this thesis, I explored how Ashley Smith's actions and death were portrayed in four mainstream Canadian newspapers (Globe and Mail, Telegraph-Journal, Toronto Star and National Post). My aim in this thesis is to critically analyze patterns of stereotypes of mental illness present in these news articles and connect these patterns to labeling theories. To accomplish this goal, I used a mixed methods approach that combined computerized topic modeling with critical reading. Topic modeling revealed three variables that affected topic weight: the timing of the news coverage, newspaper political affiliation and circulation/location. These three variables also impacted how these newspapers depicted Ashley Smith as mentally ill, through their use of generic and/or negative terminology, medicalization and vulnerability stereotypes.

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 categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.602
Threshold uncertainty score0.998

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0010.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0030.000

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 head0.043
GPT teacher head0.338
Teacher spread0.296 · 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

Quick stats

Citations3
Published2013
Admission routes2
Has abstractyes

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