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Selected Formal and Casual Correspondence between sociologists P.A. Sorokin and L. von Wiese (1950–1966). Transl. from Eng. and publication by N.A. Golovin

2022· article· en· W4298001189 on OpenAlexaboutno aff
Nikolay Golovin

Bibliographic record

VenueSociological Journal · 2022
Typearticle
Languageen
FieldSocial Sciences
TopicSociopolitical Dynamics in Russia
Canadian institutionsnot available
Fundersnot available
KeywordsGermanCasualSociologyScholarshipAltruism (biology)BiographyClassicsSocial scienceLawHistoryArt historyPsychologyPolitical scienceSocial psychology

Abstract

fetched live from OpenAlex

The postwar correspondence between P.A. Sorokin, head of the Harvard Centre for the Study of Creative Altruism, and L. von Wiese, President of the German Society for Sociology and publisher of a respected sociological journal from 1950 to 1966, describes their cooperation on issues of general sociology and in the search for practical ways of humanizing the postwar world. It covers notable events in P.A. Sorokin's scientific biography: his conflict with T. Parsons, L. von Wiese's role in its alleviation, Sorokin's creative plans and their implementation, the work of the Research Center for the Study of Creative Altruism, and evidence of recognition of Sorokin's work in West German society. This publication was prepared with support from the Russian Foundation for Basic Research, project №20-011-00451, CGES Saint Petersburg and Bielefeld Universities, Grant №1 from 05.02.2021, on permission from The Pitirim Sorokin Foundation, the German Federal Archives (Bundesarchiv, BAarch B 320/39) and the Pitirim A. Sorokin Collection, University Archives & Special Collections, the University Library at the University of Saskatchewan, Saskatoon, Canada. Letters written by L.vonWiese as a response to P.A.Sorokin are quoted in footnotes with numbering in Latin numerals. Footnote icons written in Arabic numerals refer to notes that supplement the main text.

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)0.003
metaresearch head score (Gemma)0.002
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: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.071
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0030.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0030.003
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.002
Insufficient payload (model declined to judge)0.0010.000

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 head0.030
GPT teacher head0.323
Teacher spread0.293 · 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; both teacher heads agree on what is shown here.

Study designObservational
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
Published2022
Admission routes1
Has abstractyes

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