Bibliographic record
Abstract
This article describes the history of the origins of the important principle of autogestion (autogestion in French, autogestión in Spanish, generally self-management in English) and straightening its often-confused origin story. Based in an examination of mid-twentieth century French scholarship, journals, and political documents, this article argues that the term did not arise out of Yugoslavia of the 1950s, or the French student movement of 1968, but from a collective of Algerian revolutionaries at the point of Algeria’s independence 1962-1965. Furthermore, the article corrects some English translations of the word in historical documents that have further confused its history and had an impact on how the principle was adopted in the English-speaking world. The origin of the term is important because within its grammar is the most important shift in leftist social movements of the twentieth century: the shift from “worker” or “peasant” as the revolutionary subject to a variety of collective selves in the “new” identity-based social movements of the 1960s and beyond. To recuperate autogestion’s origins as North African is to recuperate a portion of the importance of Global South activists and political thinkers to the 1968 student movements that have been so defining of our contemporary political landscape.
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) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.003 | 0.002 |
| Scholarly communication | 0.004 | 0.003 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.106 | 0.037 |
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".