MétaCan
Menu
Back to cohort
Record W2560081123 · doi:10.1177/1077699015580560f

Book Review: <i>Moral Panics, Social Fears, and the Media: Historical Perspectives</i> , edited by Siân Nicholas and Tom O’Malley

2015· article· en· W2560081123 on OpenAlexaff
Brian Gabrial

Bibliographic record

VenueJournalism & Mass Communication Quarterly · 2015
Typearticle
Languageen
FieldSocial Sciences
TopicCrime, Deviance, and Social Control
Canadian institutionsConcordia University
Fundersnot available
KeywordsMoral panicMedia studiesSociologyCriminologyPsychologyPsychoanalysis

Abstract

fetched live from OpenAlex

Moral Panics, Social Fears, and Media: Historical Perspectives. Siân Nicholas and Tom O'Malley, eds. New York: Routledge, 2013. 246 pp. $140 hbk.What triggers and feeds fear in society? That is challenging question addressed in Moral Panics, Social Fears, and Media, and, as title suggests, media are often culprit. Here, Siân Nicholas and Tom O'Malley have edited a worthy collection of essays that define and illustrate useful theoretical construct of moral panic, a term first coined in 1970s by Stanley Cohen, who noted, Societies appear to be subject, every now and then, to periods of moral panics. A condition, episode, person or group of persons emerges to become defined as a threat to societal values and interests. . His idea grew out of explosion of cultural studies work of late 1960s and 1970s, especially as ideas about power and its relationship to language and discourse came to dominate a great part of debate. Of course, these social inflamed by media often result in public calls for social elites to take action that, as O'Malley noted, reflects a 'fundamentally inappropriate' response to a perceived threat. What sets this particular collection apart from contemporary applications of theory is its emphasis on past media behavior and how it effected social change, revealing that (news) media can be placed firmly at centre of historical accounts of social change and can be directed in certain ways.The book's three parts and thirteen chapters neatly delineate theoretical definitions from their application. The book's first part provides ample explanation about what constitutes a moral panic and its various transformations since Cohen's first articulation. Chas Critcher, a preeminent scholar in this area, stresses that Cohen's model and all subsequent variations are hardy and useful for studying media and media behavior over time and across national borders. However, as editors warn, blanket application of any moral panic model must be thoughtfully executed because relationship among the media, moral panics and social fears is far too complex to apply whenever social manifest themselves. The second part explores media as object of panic, and final chapters concern media promotion of social fears.The chapters concerning new media technologies as objects of fear serve to remind, as Gabriele Balbi, observed, This capacity to scare has characterized advent of all media and also (and above all) so-called new media. While Balbi's work focused on introduction of telephone in Italy, another chapter examined cinema as an object of fear, especially when its content expressed ideas that a dominant group found threatening. …

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 machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.005
Version: metacan-v3-hybrid-931329e0061cValidation 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: Other · Consensus signal: none
Teacher disagreement score0.039
Threshold uncertainty score0.132

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.005
Meta-epidemiology (narrow)0.0020.001
Meta-epidemiology (broad)0.0020.001
Bibliometrics0.0040.008
Science and technology studies0.0010.002
Scholarly communication0.0060.005
Open science0.0020.002
Research integrity0.0030.005
Insufficient payload (model declined to judge)0.0390.026

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 head0.024
GPT teacher head0.295
Teacher spread0.271 · 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 source (direct Gemma or distilled Codex), not a consensus.

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

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
Published2015
Admission routes1
Has abstractyes

Explore more

Same venueJournalism & Mass Communication QuarterlySame topicCrime, Deviance, and Social ControlFrench-language works237,207