Enhancing green criminological critique of consumerism using psychoanalytic concepts
Bibliographic record
Abstract
It has been suggested that green criminology could be enriched by a combined critique of economic neoliberalism and consumption-driven social life.This article articulates that critique.It centers two seldom-considered forms of contemporary consumption: the consumption of content and the consumption of experiences.Drawing from political economy, green criminology, and the social harms perspective, the argument is made that economic neoliberalism and consumption-driven social life intersect in ways that significantly change how nature is socially constructed and directly cause real damage to it.This position is advanced by considering how the psychoanalytic concepts of interpassivity and fetishistic disavowal encapsulate emerging forms of environmentally harmful consumer behavior.The conclusion proposes future research projects to empirically assess the significance of these concepts in larger society using big data methods. A B S T R A C TIl a été suggéré que la criminologie verte pourrait être enrichie par une critique combinée du néolibéralisme économique et de la vie sociale axée sur la consommation.Cet article présente cette critique.Cet article reprend leur proposition de critique.Il se concentre sur deux formes de consommation contemporaine rarement prises en compte : la consommation de contenu et la consommation d'expériences.S'inspirant de l'économie politique, de la criminologie verte et de la perspective des préjudices sociaux, l'article soutient que le néolibéralisme économique et la vie sociale axée sur la consommation se croisent de manière à modifier considérablement la façon dont la nature est socialement construite et à lui causer directement des dommages réels.Cette position est avancée en considérant comment les concepts psychanalytiques d'inter-passivité et de désaveu fétichiste englobent les formes émergentes de comportement de consommation nuisible à l'environnement.La conclusion propose des projets de recherche futurs pour évaluer empiriquement la signification de ces concepts dans une société plus large en utilisant des méthodes de big data.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot 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.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.015 | 0.012 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.005 | 0.003 |
| Science and technology studies | 0.006 | 0.103 |
| Scholarly communication | 0.010 | 0.014 |
| Open science | 0.002 | 0.007 |
| Research integrity | 0.003 | 0.007 |
| Insufficient payload (model declined to judge) | 0.003 | 0.000 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".