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Record W4393314172 · doi:10.1177/00328855241240138

Did COVID-19 Affect News Media Representations of Prisons, Inmates, and Correctional Officers? A Look Prior and Postpandemic

2024· article· en· W4393314172 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

VenueThe Prison Journal · 2024
Typearticle
Languageen
FieldSocial Sciences
TopicCriminal Justice and Corrections Analysis
Canadian institutionsUniversity of WinnipegGovernment of Manitoba
Fundersnot available
KeywordsAffect (linguistics)Coronavirus disease 2019 (COVID-19)PrisonPsychologyCriminology2019-20 coronavirus outbreakSevere acute respiratory syndrome coronavirus 2 (SARS-CoV-2)Social psychologyMedicineVirologyCommunicationInfectious disease (medical specialty)

Abstract

fetched live from OpenAlex

This study examines news media representations of Canadian prisons pre and post-coronavirus disease 2019 (COVID-19). Of interest was how media framed coverage of punishment and prisons with respect to discrete, event-driven traditional myths (prisons are dangerous, inmates are violent, correctional officers are cruel) versus more systemic, reform-oriented stories (more rehabilitation needed, racialized peoples over-represented, prison conditions harsh). In a pre-post COVID-19 content analysis of 182 stories, prison articles actually declined. Some traditional prison myths were still present and reinforced, but other myths were challenged and some were rarely seen. Discussions of prison reform were also frequently observed and grew during the pandemic.

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)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.462
Threshold uncertainty score0.762

Codex and Gemma teacher scores by category

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

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 head0.033
GPT teacher head0.363
Teacher spread0.329 · 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