Max Weber, Economy and Society. A New Translation. Édité et traduit par Keith Tribe, Cambridge, Massachusetts, Harvard University Press, 2019, 520 p.
Bibliographic record
Abstract
Spécialiste de longue date de Max Weber, Keith Tribe est l'un des historiens de la pensée économique allemande les plus qualifiés pour contextualiser l'œuvre de l'auteur d'Économie et Société dans les débats de l'époque en pensée sociale et économique.On doit à Tribe autant des publications ciblées sur la sociologie de Weber, que des ouvrages sur l'histoire de la pensée économique allemande (2017) ; l'édition d'essais sur Weber et d'essais de Weber concernant les relations entre l'État et le développement économique (Tribe, 1989), ainsi qu'un ouvrage général sur l'histoire de la pensée économique (Tribe, 2015).C'est donc un historien économique doté d'une connaissance acérée de l'histoire des idées politiques et économiques allemandes qui se donne ici comme objectif de rédiger une nouvelle traduction et édition d'Économie et Société, un ouvrage aussi fondamental que structurant de la discipline sociologie.
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 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 | 0.004 |
| Meta-epidemiology (narrow) | 0.004 | 0.001 |
| Meta-epidemiology (broad) | 0.002 | 0.001 |
| Bibliometrics | 0.006 | 0.007 |
| Science and technology studies | 0.002 | 0.003 |
| Scholarly communication | 0.005 | 0.010 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.003 | 0.004 |
| Insufficient payload (model declined to judge) | 0.061 | 0.034 |
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".