O Direito E Ovos Verdes E Presunto (Law and Green Eggs and Ham)
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
Portuguese Abstract: Este trabalho analisa Ovos verdes e presunto, o quarto livro infantil mais vendido de todos os tempos, como um estudo de caso, para ponderar que a literatura infantil nao-didatizante e uma fonte fundamental do direito. O artigo parte da categorizacao da literatura infantil como constitutiva de regras comportamentais internas junto a crianca-leitora, e dessas regras como cruciais para nortear o comportamento humano. O argumento defendido e de que as regras comportamentais que podem ser sintetizadas a partir da literatura nao-didatizante compartilham as principais caracteristicas das leis e sao inclusive mais fundamentais do que as fontes tradicionais do direito. Por fim, apresentam-se dois exemplos de regras comportamentais que podem ser sintetizadas a partir de Ovos verdes e presunto, uma sobre a importância da persistencia e outra sobre a importância de se manter a mente aberta. English Abstract: This paper uses Green Eggs and Ham, the fourth best-selling children’s book of all time, as a case study to argue that non-didactic children’s literature is a fundamental source of law. It frames such literature as constitutive of internal behavioral rules in the child-reader and these rules as central to guiding human behavior. It argues that the rules of behavior which can be synthesized from non-didactic literature meet all of the main characteristics of law and are more fundamental than traditional sources of law. It, finally, offers two examples of behavioral rules which can be synthesized from Green Eggs and Ham, one regarding the importance of persistence and the other regarding the importance of open-mindedness.
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.
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 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.002 |
| Insufficient payload (model declined to judge) | 0.000 | 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 it