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Record W4414286895 · doi:10.1108/978-1-83549-400-4

Eco-Anxiety Rising

2025· book· en· W4414286895 on OpenAlexaff
Dennis Soron

Bibliographic record

Venuenot available
Typebook
Languageen
FieldSocial Sciences
TopicClimate Change Communication and Perception
Canadian institutionsBrock University
Fundersnot available
KeywordsLegitimacySocial constructionismPoliticsPerspective (graphical)Object (grammar)PhenomenonPublic discourseStrict constructionism

Abstract

fetched live from OpenAlex

The mental health effects of climate change and other ecological crises have become the object of intense public concern, giving rise to wide-ranging academic and popular debates over “eco-anxiety” and “climate anxiety.” This book offers the first extended sociological analysis of the phenomenon of eco-anxiety, engaging critically with the varied and ongoing claims-making activities through which it has been constructed as an urgent social problem. Arguing that a critical sociological perspective can shed new light upon the complex social and cultural influences feeding into the alleged “epidemic” of eco-anxiety, Soron adopts a constructionist approach to eco-anxiety that highlights the processes by which this putative condition has come to be framed as a crisis demanding a concerted collective response. Addressing key gaps and tensions within eco-anxiety discourse, this book addresses the ways in which expressions of distress over mounting environmental crises, and the various political claims that flow from them, are being shaped though the highly specific idiom of therapeutic culture. Without disputing the legitimacy of popular concerns over an environmentally uncertain future, Eco-Anxiety Rising brings debates over eco-anxiety and climate anxiety into an extended dialogue with the emergent literature on therapeutic culture and the sociology of social problems, seeking to contextualize and engage critically with a problem that has been discussed primarily from a psychological or medical vantage point.

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)0.000
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: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.216
Threshold uncertainty score0.983

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0180.001

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 head0.404
GPT teacher head0.465
Teacher spread0.060 · 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.

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
Published2025
Admission routes1
Has abstractyes

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