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Record W4398132695 · doi:10.3389/fpsyt.2024.1432346

Editorial: The representation of psychiatry and mental health in popular culture

2024· editorial· en· W4398132695 on OpenAlexaff
Hua Wang, Ian Cummins, Yukari Seko

Bibliographic record

VenueFrontiers in Psychiatry · 2024
Typeeditorial
Languageen
FieldArts and Humanities
TopicMedia Influence and Health
Canadian institutionsToronto Metropolitan University
Fundersnot available
KeywordsMental healthPsychiatryRepresentation (politics)Popular cultureCitationPsychologyMedicineMedia studiesLibrary scienceSociologyPolitical scienceComputer sciencePolitics

Abstract

fetched live from OpenAlex

Mental illness has a complicated history in popular culture (Packer, 2017). Stories about the "madman," whether fictional or real, often unfold in dark, unpredictable, and violent narratives, contributing to moral panics and cultural paranoia in society (Conway, 2016;Cooke, 2017; McMahon-Coleman & Weaver, 2020; Packer, 2017). These representations profoundly shape the public perceptions, attitudes, and behaviours toward psychiatry and mental health (Hoffman et al., 2023;Medero & Hovick, 2023;Packer, 2017;Wang & Parris, 2021). This Research Topic aims to investigate media representations of mental health through diverse conceptual perspectives and analytical approaches.The six articles in this collection covered popular entertainment and prominent cases across the UK, USA, and Belgium, spanning various media forms like newspapers, magazines, television series, and video games. Employing social scientific methods and critical cultural studies, the authors examined phenomena regarding the creative industry, mainstream media, and policies directly and indirectly affecting perceptions and treatment of mental illness. Topics included discrimination and stigma associated with disorders such as schizophrenia, personality disorders, PTSD, depression, and anxiety, alongside intersections with racial trauma and socioeconomic disparities, as well as adverse consequences like imprisonment and suicide.De Hart et al. examined the news coverage of Belgium's first criminal case since euthanasia for psychiatric patients became legal. Using both quantitative and qualitative content analysis, they found predominantly neutral news coverage regardless of ideological backgrounds and publication platforms, though subtle differences emerged in content selection and tonality. The end-of-life decision-making of a 38-year-old woman with borderline personality disorder and/or autism ignited wider legal and ethical debates on euthanasia for incurable mental illness and unbearable suffering, including the problematic nature of defining psychiatric suffering.

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.

How this classification was reachedexpand

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 categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Editorial · Consensus signal: Editorial
Teacher disagreement score0.039
Threshold uncertainty score0.966

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.002
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 head0.010
GPT teacher head0.292
Teacher spread0.283 · 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

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designNot applicable
Domainnot available
GenreEditorial

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations0
Published2024
Admission routes1
Has abstractyes

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