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Record W4395095621 · doi:10.1080/1600910x.2024.2329611

Book forum: global libidinal economy

2024· article· de· W4395095621 on OpenAlexaff
Ilan Kapoor, Gavin Fridell, Maureen Sioh, P. de Vries, Hasmet M. Uluorta, Hannah Richter, Christian Caiconte, María Gómez Martín

Bibliographic record

VenueDistinktion Journal of Social Theory · 2024
Typearticle
Languagede
FieldSocial Sciences
TopicGlobalization and political ideologies
Canadian institutionsTrent UniversitySaint Mary's UniversityYork University
Fundersnot available
KeywordsPolitical scienceEconomyEconomics

Abstract

fetched live from OpenAlex

This is a forum containing six short interventions on the 2023 co-authored book, Global Libidinal Economy. In the first intervention, the co-authors lay out their book’s key arguments. What follows are four critical commentaries on the book, focusing on the following question: ‘To what extent do you think unconscious excess and irrationality are integral to global political economy?’ Contributors comment from a variety of perspectives – Critical IR, Marxist value-theory, radicalism – taking up the book’s arguments by illustrating, refining, or disagreeing with them. The forum concludes with a response by the book’s co-authors to the questions and arguments raised by the four contributors.

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)0.001
metaresearch head score (Gemma)0.002
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: Not applicable
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.064
Threshold uncertainty score0.213

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0030.003
Scholarly communication0.0060.004
Open science0.0010.002
Research integrity0.0020.004
Insufficient payload (model declined to judge)0.0640.013

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 head0.019
GPT teacher head0.332
Teacher spread0.314 · 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
Published2024
Admission routes1
Has abstractyes

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