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Record W2943831690

Hans-georg Gadamer and the Harmony of Word and Deed

2018· article· en· W2943831690 on OpenAlexaff
Gaelan Murphy

Bibliographic record

VenueThe Political Science Reviewer · 2018
Typearticle
Languageen
FieldPsychology
TopicPhenomenology and Existential Philosophy
Canadian institutionsMacEwan University
Fundersnot available
KeywordsNazismDeedOpposition (politics)PhilosophyHarmony (color)Nazi GermanyComplicityGermanTheologyLawSociologyPolitical scienceArtPolitics
DOInot available

Abstract

fetched live from OpenAlex

Hans-georg Gadamer was born in 1900 in Marburg, and died in 2002 in Heidelberg. He studied at the University of Marburg under the neo-Kantian Paul Natorp, defending his dissertation on Plato in 1922. He moved to the University of Freiburg, where he met Martin Heidegger, whom he followed back to Marburg when Heidegger gained his professorship, joining a circle of Heidegger’s students, including Leo Strauss, Karl Lowith, Jacob Klein, and Hannah Arendt. Gadamer habilitated in 1929 and began lecturing as a privatdotzen, an unsalaried instructor, but he was unable to secure a professorship until 1939. During this time, Gadamer’s academic career progressed slowly, if at all. Privatdotzen survived on occasional fellowships and ad hoc compensation from students. While direct opposition to the regime was impossible, he sheltered his friend Jacob Klein in his house for almost two years, from 1933 to 1934, and he supported Erich Frank until his departure from Marburg for the United States in 1939. Unlike Heidegger, who famously joined the Nazi party, Gadamer never joined the party, even though doing so would have provided a critical benefit to a struggling career. At the same time, Gadamer did what was necessary to maintain his position. In 1933 he signed, along with twenty-three other faculty members at the University of Marburg, as demanded in a public forum, the Loyalty Oath of German Professors to Adolph Hitler and the National Socialist State. In 1935, still without joining the party, he volunteered for a “kind of rehabilitation camp,” which may have been instrumental in his eventual professorship.

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)0.003
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: Theoretical or conceptual
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.007
Threshold uncertainty score0.021

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.003
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0040.016
Scholarly communication0.0070.007
Open science0.0000.004
Research integrity0.0020.004
Insufficient payload (model declined to judge)0.0060.003

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 head0.041
GPT teacher head0.349
Teacher spread0.309 · 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 designTheoretical or conceptual
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
Published2018
Admission routes1
Has abstractyes

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