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Answering populist attacks on psychosocial ideas: why Fromm matters more than Marcuse

2024· article· en· W4403150642 on OpenAlexaff
Neil McLaughlin

Bibliographic record

VenueJournal of Psychosocial Studies · 2024
Typearticle
Languageen
FieldSocial Sciences
TopicCritical Theory and Philosophy
Canadian institutionsMcMaster University
Fundersnot available
KeywordsPsychosocialPsychoanalysisSociologyCriminologyPsychologyPsychotherapist

Abstract

fetched live from OpenAlex

The reactionary American intellectual Christopher Rufo has made German critical theorist Herbert Marcuse the centre of his campaign to purge the American academy of radical ideas and movements. Marcuse’s ideas have significant influence in contemporary psychosocial scholarship, so attacks on his work may have negative consequences for psychosocial scholars. Rufo’s critique of the influence of Marcuse’s ideas is mostly exaggerated but it contains elements of truth. This article will outline ways in which some of Marcuse’s ideas are echoed in elements of the contemporary left/liberal intellectual and political orthodoxy. We revisit the Fromm/Marcuse debate from the 1950s, and offer an analysis of why Rufo might have picked Marcuse for attack when Fromm might well have been a viable target, as Fromm was in the 1980s when he was famously scapegoated by Allan Bloom in The Closing of the American Mind (1987). I then offer an analysis of how Erich Fromm’s alternative psychosocial radicalism can help better defend the psychosocial perspective in mass politics than Marcuse’s framework. Fromm’s framework also offer a theoretical foundation for radical psychosocial studies that can help our field defend itself against the new McCarthyism of Rufo and his allies on the global right who are likely to attack radical psychosocial perspectives in the near future.

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)0.001
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 score0.768
Threshold uncertainty score0.914

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0000.000
Science and technology studies0.0010.001
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
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 head0.066
GPT teacher head0.431
Teacher spread0.365 · 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

Citations1
Published2024
Admission routes1
Has abstractyes

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