Accounting Research in the French Language Area: The First Half of the 20th Century
Bibliographic record
Abstract
This paper offers a general survey of accounting literature in the French language area of the first half of the 20th century: After a general Introduction, referring mainly to renowned French authors of past centuries, it deals first with historical accounting research (Dupont, de Roover, Gomberg, Vlaemminck, etc). Then come publications in financial accounting theory and its application (Faure, Dumarchey, Delaporte, Penglaou, de Fages de Latour, etc.), followed by a section on cost accounting and managerial control (Julhiet, de Fage de Latour, Detoeuf, Satet, Bournisien, Brunei, Sauvegrai, etc.). Alarger Section is devoted to inflationary problems (Delavelle, Raffegeau and Lacout, Bayard, Léger, Faure, Thomas, Bisson, Dumarchey, Durand, Beaupère, Ratier, etc.). Another large section refers to charts of accounts and public supervision (Otlet, Faure, Blairon, Detoeuf, Caujolle, Fourastié, Gabriel, Chardonnet, Gamier, etc.). The paper closes with a concise general conclusion about this period of transition from a mainly traditional agricultural to an industrial society with its costing problems, its organizational control, and its greater service orientation.
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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 | 0.003 | 0.004 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.008 | 0.009 |
| Science and technology studies | 0.003 | 0.004 |
| Scholarly communication | 0.007 | 0.004 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.002 | 0.001 |
| Insufficient payload (model declined to judge) | 0.007 | 0.001 |
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".