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Addictive Appetites: Autophagy, Capitalism, and Mental Health

2020· article· en· W3034886612 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.

Bibliographic record

VenueJournal of Asia-Pacific Pop Culture · 2020
Typearticle
Languageen
FieldArts and Humanities
TopicWalter Benjamin Studies Compilation
Canadian institutionsRed Deer Polytechnic
Fundersnot available
KeywordsCannibalismCapitalismInternalizationSubjectivityExistentialismAutophagyMental healthIdentity (music)SociologySelfEnvironmental ethicsSocial psychologyPolitical sciencePsychologyEcologyEpistemologyBiologyAestheticsPsychotherapistPhilosophyPoliticsLaw

Abstract

fetched live from OpenAlex

Abstract This article examines how images of self-cannibalism, or autophagy, configure a subjectivity that emphasizes the internalization of precarious existential conditions resulting from contemporary neoliberal principles. With a focus on mental health, I argue that the combination of self-cannibalism and individual responsibility inculcates an individual rather than collective response to mental health pathologies. I demonstrate how the dominant medical model of treatment paradoxically minimizes and internalizes the social and economic factors that contribute to identity formation, and I suggest that the conventional self-other antagonism of cannibalism transforms into a new self-self antagonism. By internalizing principles of competition and self-reliance in neoliberal capitalism, the contemporary subject subscribes to the very conditions that undermine the healthy social and interactive features that define a stable community life. Autophagy shifts away from the negative associations of cannibalism and toward the positive yet paradoxical associations of autophagy as a model of self-sustainability.

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)0.000
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: Empirical · Consensus signal: none
Teacher disagreement score0.764
Threshold uncertainty score0.509

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)0.0000.000

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 head0.024
GPT teacher head0.235
Teacher spread0.211 · 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