Pesquisas sobre Currículos e Culturas: tensões, movimentos e criações
Bibliographic record
Abstract
The book Research on Curricula and Cultures: tensions, movements and creations, organized by Marlucy Alves Paraíso and Maria Patrícia Silva, it consists of 17 chapters, one of which is an interesting work by a Canadian scholar who investigates state anti-feminism. The other chapters bring results from 16 researches developed by researchers from the Study and Research Group on Curricula and Cultures (GECC), created and coordinated by Marlucy Alves Paraíso, which has researchers from several Brazilian universities and states. The articles in the book combine the post-critical perspectives used to investigate curricula and cultures in their different nuances, addressing silences, power relations, modes of subjectivation and the movements that prevent their fixity. The book brings research results that discuss the possibilities of creating possibilities at school and in other cultural spaces that also have curricula and develop pedagogies, such as: cyberspace, city, health care programs, teacher training programs, educational policies, etc. In addition, curricula are investigated with emphasis on different practices and aspects: childhood, art, music, dance, gender, sexuality, ethnicity, corporality, politics, with research that also innovates methodologically when operating with openings, experiments, do-it-yourself and compositions in different ways. to research curricula without rigidity, although with the necessary rigor in academic research. O livro reconhece de diferentes modos as possibilidades de conexões entre currículos e culturas, e mostra movimentos capazes de operar transgressões apostando em uma cultura porvir.
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 distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.002 | 0.002 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.006 | 0.002 |
| Open science | 0.002 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 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 teacher head, 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".