Policies for Continuing Education and Teacher Professional Development: a strategy of corporate neoliberal governmentality
Bibliographic record
Abstract
ABSTRACT The article problematizes the idea of teacher professional development - TPD, from the perspective of neoliberal rationality. It seeks to demonstrate how initiatives in the field of public policies drive actions toward corporate governmentality (DARDOT; LAVAL, 2016). To this end, a document produced by the UNDIME, CONSED, Fundação Carlos Chagas, and Profissão Docente in partnership with the Ministry of Education aiming to guide cities and states toward establishing professional development matrices for teachers of Basic Education from the Common National Base for the Continuing Training of K-12 Teachers. The artifact under analysis is characterized by a conception of teacher professional development centered on regulatory and self-regulation practices necessary for constructing the neoliberal subject or neo-subject. In this sense, the study identifies mentoring approach for managing continuing education and TPD, establishing action protocols for teaching work.
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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 | 0.028 | 0.032 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.008 | 0.026 |
| Scholarly communication | 0.017 | 0.006 |
| Open science | 0.002 | 0.012 |
| Research integrity | 0.005 | 0.006 |
| Insufficient payload (model declined to judge) | 0.003 | 0.000 |
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".