Para a crítica da educação neoliberal: Entrevista com Christian Laval
Bibliographic record
Abstract
Christian Laval, French sociologist and professor at the University of Paris or Nanterre La Défense (Paris X), argues that "the only real emancipatory modernity relays in the autonomy of education in relation to the power of capital". In an interview granted in January 2020, during a huge strike by workers against a pension “reform”, and also the great mobilizations against “reforms” of high school and of the academic research in France, the author articulates the task of examining the configuration the “new capitalist school” with a policy proposal that denies the future and the “modernization” of education imprisoned by competition. As the neoliberal way of life, capitalist competition finds in educational system a fundamental support, either through the formation of subjectivity, or in the objectivity of the new configuration of“marketization” e “commodification” of education. Both naturalize a competition and create a new disposition between individuals and the State through education. Thus, in the interview with the author, we approached the relationship between the change in the State form and in the function of education that no longer aim the formation of an individual with rights, but to reduces each individual into a "capital manager of himself". There, there is a necessary refutation of the theses on the weakening of the State during neoliberalism, and the revelation of it fundamentalrole in the creation of new –and brutal –social relations.
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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 | 0.013 | 0.018 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.014 | 0.035 |
| Scholarly communication | 0.015 | 0.007 |
| Open science | 0.002 | 0.007 |
| Research integrity | 0.023 | 0.026 |
| Insufficient payload (model declined to judge) | 0.004 | 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".