Treatise Online no. 102: Part M, Chapter 11: Statoliths and coleoid evolution
Bibliographic record
Abstract
ABSTRACT: Civil liability, known as civil tort, arises from the legal obligation to repair damage, to answer someone for their acts or for the acts of a third party, to the detriment of the law. The aim is to address the Civil Liability of the International Air Carrier for material damage caused to passenger luggage. In view of this fact, the problem arises: if there is material damage resulting from lost luggage in international transport involving a consumer, will it be governed by the CDC or by the Warsaw and Montreal Conventions? The methodology will be a bibliographical research and use of legislation and doctrine, as well as jurisprudence of Brazilian Courts and international treaties. To deal with the proposed theme, a reflection is made which combines sources of knowledge, with: Gonçalves, (1995); Gagliano, (2011); Jurisprudence of the STF (2017); STJ case law (2018); CF (1988); MAZZUOLI, (2016); CDC (1990); between others. Therefore, in Constitutional and Legal terms, the norms of international treaties adduce the responsibility of carriers resulting in the loss of passenger luggage, notably the Warsaw and Montreal Conventions, stands out in relation to the Consumer Protection Code.
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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 | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.003 |
| Science and technology studies | 0.002 | 0.004 |
| Scholarly communication | 0.003 | 0.002 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.003 | 0.003 |
| Insufficient payload (model declined to judge) | 0.044 | 0.007 |
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".