Bibliographic record
Abstract
The LSE Michaelmas term 1933 began on 9 October. On 11 October the Academic Freedom Committee met again. Robbins reported upon the cases he had investigated since the spring. The committee decided to make grants to assist five people – Adolf Löwe, Werner Friedrich Bruck, Charlotte Leubuscher, Eugen Fink and Robert René Kuczynski – and to use the balance of the fund for two fellowships for young scholars to continue their studies. For Löwe, Professor of Political Economy at the University of Frankfurt since 1931, who already had a temporary position at the University of Manchester, the committee offered to finance a course of lectures by him at LSE. For Bruck, dismissed from his professorship of economics at the University of Münster, the committee agreed to pay £100 to University College Cardiff to help with his removal expenses and salary as a visiting professor. It awarded £100 to Leubuscher of the Friedrich Wilhems University of Berlin to enable her to spend the academic year at Girton College Cambridge. Lionel had heard of the predicament of Fink, the research assistant and collaborator of the retired professor of philosophy at Freiburg Edmund Husserl, from Felix Kaufmann, a young Viennese philosopher who was a friend of Haberler and Tugendhat: Kaufmann had studied under Husserl and had read Fink’s work (Fink 1995, xxi, lxxxi). Fink was not Jewish but by staying with Husserl who was, he could not complete his Habilitation under Husserl’s successor, the Nazi Martin Heidegger, thus depriving himself of an academic career – and of a living if the grant which supported him was not renewed (Bruzina 2004, 27–8, 36–44). The committee decided to offer him a grant of £100 but on 15 December Lionel reported that Fink had received assistance from another source. Kuczynski, who had been the Director of the Statistical Office of the City of Berlin in the 1920s and more recently at the Brookings Institution, came to the School as an assistant to the Professor of Social Biology Lancelot Hogben; the fund contributed £200 towards his salary. He was appointed Reader in Demography five years later.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot 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.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.002 | 0.003 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.015 | 0.005 |
| Scholarly communication | 0.009 | 0.005 |
| Open science | 0.001 | 0.007 |
| Research integrity | 0.003 | 0.006 |
| Insufficient payload (model declined to judge) | 0.126 | 0.057 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".