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Record W2462877174 · doi:10.22329/p.v9i2.4271

Cultivating a New Normal: Mood Disorders in the DSM-III to -5 Era

2014· article· en· W2462877174 on OpenAlexvenueno aff
Adam Dylan Hefty

Bibliographic record

VenuePhaenEx · 2014
Typearticle
Languageen
FieldArts and Humanities
TopicMental Health and Psychiatry
Canadian institutionsnot available
Fundersnot available
KeywordsMoodDistressPsychologyPsychotherapistPsychopathologyCognitionConvergence (economics)Cognitive psychologyClinical psychologyPsychiatry

Abstract

fetched live from OpenAlex

Contemporary diagnostic categories and various modes of treatment of mood disorders contribute to the development of a managed form of selfhood in contemporary society, particularly as articulated with management in the workplace. This produces a new iteration of the normal in relation to psychopathology; instead of the normal as an absence of disorder or distress, normalcy becomes the private management, often stemming from an external or internalized social injunction, of symptoms through various available techniques of self-care. I support this claim through an analysis of the development of the category of the mood disorder under DSM-III and the functioning of common contemporary treatments such as antidepressant medications, cognitive-behavioral therapy, and alternative techniques such as mindfulness meditation. A new social problematic emerges, in part out of this convergence, in which the notion of mood becomes generalized and an object of vigilance. Everyone has moods; we always have moods; and moods are in principle always subject to the need of being managed.

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 categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.889
Threshold uncertainty score0.980

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)0.0010.000

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 head0.026
GPT teacher head0.277
Teacher spread0.251 · 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
GenreEmpirical

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
Published2014
Admission routes1
Has abstractyes

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