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Record W4416091031 · doi:10.1007/978-1-349-58802-2_880

Kalecki, Michal (1899–1970)

2008· book-chapter· en· W4416091031 on OpenAlexaboutno aff
Malcolm Sawyer

Bibliographic record

VenueThe New Palgrave Dictionary of Economics · 2008
Typebook-chapter
Languageen
FieldArts and Humanities
TopicMedical History and Innovations
Canadian institutionsnot available
Fundersnot available
KeywordsWork (physics)World War IIFirst world warControl (management)Section (typography)Government (linguistics)

Abstract

fetched live from OpenAlex

Michal Kalecki was born on 22 June 1899 in Lodz, Poland, and died in Warsaw on 17 April 1970. His academic training was in engineering, and he was self-taught in economics, influenced by writers such as Marx and Rosa Luxemburg. He obtained his first quasi-academic employment in 1929 at the Research Institute of Business Cycles and Prices in Warsaw, where his work involved the study of business cycles and the preparation of reports on specific industries. A Rockefeller Foundation Fellowship allowed him in 1936 to study abroad in Sweden and then England, where he remained for the next ten years; during the Second World War he was employed at the Oxford University Institute of Statistics. After work for the International Labour Office in Montreal, Canada, in 1945 and 1946, Kalecki was appointed at the end of 1946 as deputy director of a section of the economics department of the United Nations secretariat in New York. In that job, a major task was the preparation of the World Economic Reports . When a board of directors was appointed to exercise control over that Report , which he and others viewed as McCarthyite American involvement in the work of the UN, he resigned in protest.

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)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.662
Threshold uncertainty score0.987

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.001
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0140.000

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 head0.053
GPT teacher head0.200
Teacher spread0.147 · 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 teacher head, not a consensus.

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
Published2008
Admission routes1
Has abstractyes

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