ANÁLISE PRAXEOLÓGICA DE DIRETRIZES CURRICULARES REFERENTE AO ESTUDO DE NÚMEROS BINÁRIOS
Bibliographic record
Abstract
Objetiva investigar a abordagem de números binários, a nível escolar, em diretrizes curriculares de Matemática e de Computação. Para tal, recorre à Teoria Antropológico do Didático como elemento teórico e, mais especificamente, a praxeologia como ferramenta de pesquisa. Não identifica abordagem de números binários em diretrizes curriculares internacionais de Matemática: Ontario (2005, 2007). No entanto, identifica abordagem de números binários em diretrizes curriculares internacionais de Computação: Ontario (2008, 2009) e Computer Science Teachers Association (2011). Os números binários configuram-se como tema ou setor de estudo necessário para a compreensão de outros saberes, próprio, da Computação. Identificamos dezesseis tipos de tarefas, duas técnicas e princípios de tecnologia nessas diretrizes curriculares internacionais de Computação.
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 | 0.006 | 0.006 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.002 | 0.000 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.016 | 0.004 |
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; both teacher heads agree on what is shown here.
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".