Bibliographic record
Abstract
Nie można rozważać efektywności ochrony prawnej do jakiegoś ogólnego pojęcia “wynalazku”, bo takie pojęcie nie istnieje. Musi zostać zawsze rozpatrywane w odniesieniu do legalnych definicji wynalazku, orzecznictwa i praktyki urzędów patentowych w poszczególnych krajach. W niniejszym opracowaniu, Autor przytacza kilka definicji legalnych “wynalazku” obowiązujących m. in. w Argentynie, Japonii, Kanadzie i w Polsce. Omówione zostają pojęcia, które powtarzają się w ww. porządkach prawnych takich jak: “nowość”, charakter “techniczny”, “twórczy”, “ekonomiczny”. Każdy wynalazek rodzi określone stosunki prawne, wynikające z powstania nowego dobra majątkowego. Prawo do wynalazku powstaje na rzecz twórcy już w chwili dokonania przez niego wynalazku, zupełnie niezależnie od tego, jakie są jego zamiary. Ochrona prawna wynalazków w zakresie prawa cywilnego stworzyła podstawy do ukształtowania się specjalnych stosunków prawnych w przemyśle. The effectiveness of legal protection cannot be considered to some general concept of “invention”, because such a concept does not exist. It must always be considered in relation to legal definitions of invention, case law and the practice of patent offices in individual countries. In this paper, the author provides several legal definitions of “invention” applicable in Argentina, Japan, Canada and Poland, among others. Concepts that are repeated in the above-mentioned legal orders such as “novelty”, “technical”, “creative” and “economic” nature are discussed. Every invention gives rise to specific legal relationships resulting from the creation of new property. The right to an invention already arises in favour of the inventor at the moment they make the invention, completely regardless of what their intentions are. The legal protection of inventions in the field of civil law has laid the foundations for the formation of special legal relationships in industry.
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 | 0.003 | 0.002 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.000 | 0.003 |
| Science and technology studies | 0.004 | 0.003 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.004 | 0.006 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.000 | 0.010 |
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 teacher head, 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".