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Record W3049125134

The Dream: Freud & Szasz In Conversation

2020· article· en· W3049125134 on OpenAlexaff
Douglas Waxman

Bibliographic record

VenueThe Review of Disability Studies: An International Journal · 2020
Typearticle
Languageen
FieldArts and Humanities
TopicMental Health and Psychiatry
Canadian institutionsYork University
Fundersnot available
KeywordsMental illnessConversationPsychoanalysisDreamPsychologyUnconscious mindPsychotherapistMental health
DOInot available

Abstract

fetched live from OpenAlex

A humorous, fictional but academic conversation between two of psychiatry’s giants Sigmund Freud and Thomas Szasz. Or is it a dream? Through their animated dialogue and critique of each other’s theories is elicited a contrasting exploration of their conceptual differences. The canvas the origins of psychiatry, the medical-scientific approach to mental illness and the medicalization of the language of psychiatry, psychiatry as science vs. social construction of mental illness, hysteria, the causes of mental illness, patients’ social responsibility vs. illness, the unconscious mind, sublimation of individual freedom vs. metarules of society and coercion vs. treatment. The conversation demonstrates the sharp contrasts between the seminal works of both theorists; on the one hand Szasz’s The myth of mental illness: Foundations of a Theory of Personal Conduct and Freud’s Studies in hysteria(with Breuer) and Civilization and its discontents. The Dream: Freud and Szasz in Conversation by Douglas Waxman is licensed under a Creative Commons Attribution 4.0 International License. Based on a work at https://rdsjournal.org. Permissions beyond the scope of this license may be available at https://www.rds.hawaii.edu.

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)0.021
metaresearch head score (Gemma)0.023
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: none
GenreCandidate signal: Other · Consensus signal: none
Teacher disagreement score0.023
Threshold uncertainty score0.113

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0210.023
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0050.005
Science and technology studies0.0230.078
Scholarly communication0.0200.038
Open science0.0020.014
Research integrity0.0120.013
Insufficient payload (model declined to judge)0.0030.001

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 head0.138
GPT teacher head0.396
Teacher spread0.257 · 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
Published2020
Admission routes1
Has abstractyes

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