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Record W3092273647 · doi:10.4000/ress.6737

David KETTLER & Thomas WHEATLAND, Learning from Franz L. Neumann. Law, Theory and the Brute Facts of Political Life

2020· article· en· W3092273647 on OpenAlex
Augustin Simard

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

VenueRevue européenne des sciences sociales · 2020
Typearticle
Languageen
FieldSocial Sciences
TopicPolitical and Social Issues
Canadian institutionsUniversité de Montréal
Fundersnot available
KeywordsHumanitiesPoliticsArtPhilosophyArt historyLawPolitical science

Abstract

fetched live from OpenAlex

Connu pour ses travaux sur Karl Mannheim et sur les intellectuels allemands en exil (culminant avec Liquidation of Exile, paru 2011), personne mieux que Kettler ne pouvait se charger d’écrire une telle biographie intellectuelle de Franz L. Neumann, aussi savante que d’une rare exhaustivité. Il en résulte un ouvrage étrange, à la fois riche, dense et biscornu, rédigé en collaboration avec Thomas Wheatland. Né dans les dernières années de la République de Weimar et forcé de s’installer aux USA ...

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)0.002
metaresearch head score (Gemma)0.005
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesScience and technology studies
Consensus categoriesScience and technology studies
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: Theoretical or conceptual
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.177
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.005
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0030.023
Scholarly communication0.0000.000
Open science0.0010.000
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 head0.175
GPT teacher head0.346
Teacher spread0.170 · 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