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.
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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 | 0.008 | 0.063 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.008 | 0.011 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.004 | 0.003 |
| Open science | 0.002 | 0.004 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.012 | 0.002 |
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".