Bibliographic record
Abstract
One of the disputes in criminal law and judicial practice is the possibility or impossibility of crimes as a result of the abandonment of the verb; in other words, there is a controversy about the realization of physical behavior in the form of the detention of the act.This difference arises from the complexity of the verb trap, especially The gravity of establishing the causality relation is that the separation of positive crimes from criminal offenses leads to the conclusion that the material pillar of some crimes is a positive action, that is to say, committing, and is a material pillar of some of the other crimes committed, ie refusing or abandoning the verb.Unlike the verb, the absence of the act is devoid of scientific power and does not impose any domination on material events.The effect of the abstention on absolute crimes and of the various offenses is different, and the material element in absolute crimes is obtained by mere abandonment, but it must be abandoned in its tangible crimes.The verb is followed by the result of a criminal conviction.The Islamic Penal 2013 briefly outlines the issue of the termination of the verb, but it does not diminish the complexity of the matter with regard to the conditions mentioned in the article, in particular the establishment of the causality relationship and without mentioning the bases for proving this relationship.The judicial process of countries is different in this regard.
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 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 | 0.002 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.006 | 0.004 |
| Open science | 0.001 | 0.004 |
| Research integrity | 0.003 | 0.002 |
| Insufficient payload (model declined to judge) | 0.941 | 0.933 |
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; the direct Gemma label and the distilled Codex classifier 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".