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Znaniecki, Florian (1882–1958)

2017· other· en· W4250012550 on OpenAlexaff
Robert A. Stebbins

Bibliographic record

VenueThe Blackwell Encyclopedia of Sociology · 2017
Typeother
Languageen
FieldSocial Sciences
TopicPolish Historical and Cultural Studies
Canadian institutionsUniversity of Calgary
Fundersnot available
KeywordsPeasantCONQUESTColumbia universityDismissalWorld War IINationalismPolishSociologyEconomic historyPolitical scienceHistoryLawAncient historyMedia studiesPoliticsPhilosophy

Abstract

fetched live from OpenAlex

Abstract Florian Znaniecki was born to a well‐to‐do Polish family living in Russian‐occupied territory. His active support of Polish nationalism resulted in his dismissal from the University of Warsaw and an extended stay abroad. He studied at the University of Geneva and the Sorbonne. He later returned, this time to the University of Kraków, receiving his doctorate there in 1910. While helping Poles to migrate he met W.I. Thomas, who in 1914 invited Znaniecki to join him at the University of Chicago. Shortly thereafter the two began work on the famous five‐volume study The Polish Peasant in Europe and America , published between 1918 and 1920. Znaniecki taught at Columbia University (1916–1917), at the University of Chicago (1917–1919), and in 1920, following Polish independence, became professor of philosophy at the new University of Pozna'n. Here he helped to establish sociology, founded the Polish Institute of Sociology, in 1929 and launched a Polish sociological journal. Following the conquest of Poland in World War II, he was invited to Columbia University (1939). In 1941 he went as professor of sociology to the University of Illinois, retiring from there in 1951. Before his death, in 1958, he was elected president of the American Sociological Society (1955).

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)0.000
metaresearch head score (Gemma)0.001
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: none
Teacher disagreement score0.022
Threshold uncertainty score0.045

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0030.002
Science and technology studies0.0020.001
Scholarly communication0.0010.002
Open science0.0000.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0140.003

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 head0.024
GPT teacher head0.298
Teacher spread0.274 · 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
Published2017
Admission routes1
Has abstractyes

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